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Issue 102

Volume 2 (2026)

Foreword

Peng Honghua

Peng Honghua

President, ICT Strategy & Business Development, Huawei

Cultivating Talent, Powering the AI Era

AI is moving fast — faster than many industries can adapt, faster than many institutions can respond. Intelligent transformation is now a global phenomenon, touching every sector, every economy, every society. At the center of this shift lies a question that will shape the coming era: Who will build, shape, and sustain the AI-powered world? The need for talent is no longer just a future concern. It is an immediate, urgent, and growing imperative.

For Huawei, this urgency carries a dual responsibility. As an innovator in ICT, we are committed to building competitive digital and intelligent infrastructure that drives real industry transformation. And as a corporate citizen, we recognize a deeper truth: The faster technology advances, the more critical it becomes to accelerate talent development in step with it.

Since we launched the Huawei ICT Academy program in 2013, we have partnered with more than 3,500 universities in over 110 countries and regions, reaching more than 1.8 million students worldwide. We continue to explore new models and pathways for industry-education collaboration. At the inauguration of Shanghai Jiao Tong University's Zhiyuan-1 Intelligent Computing Platform, we reaffirmed our commitment: Huawei will continue to use the Kunpeng & Ascend Science and Education Innovation Excellence Center to speed up the cultivation of top AI talent and interdisciplinary AI+X professionals.

AI is reshaping education in profound ways, and together we are confronting a defining question of our time: How can we turn AI's immense potential into a tangible force that empowers every learner across every boundary of technology and resources? This will require all of us, especially those at the forefront of innovation, to reflect carefully on our roles and responsibilities in the larger ecosystem.

Companies, especially technology companies, cannot limit their role to that of an external provider of tools. The real responsibility lies in becoming co-builders and enablers of the education ecosystem. This commitment can be understood across three dimensions.

First, we serve as a bridge for inclusive connectivity, lowering the barriers to accessing computing power. Our role is to transform cutting-edge AI computing power, development platforms, and course resources into solutions that universities, faculty, and students can easily access and use. Through initiatives like the Huawei ICT Academy and the AI 100 Schools Plan, we are making Ascend AI computing power and full-stack technologies accessible to the education sector. This is how we work to close the gap in equitable access, ensuring that learners everywhere have the opportunity to use the latest AI technologies.

Second, we act as a catalyst for industry-education integration, closing the gap between learning and application. True enablement means ensuring that what students learn is what they will actually use. For example, we turn real industry scenarios, engineering problems, and datasets into teachable cases and competition challenges. The Huawei ICT Competition embeds authentic industry problems into its tracks, challenging students to apply knowledge to real problems and develop their abilities through practical application. For companies, the responsibility is clear: Bring the industry's live challenges into the classroom.

Third, we work as a collaborator in building lifelong learning systems, supporting every learner along their journey. In the AI era, knowledge is evolving faster than ever and shows no signs of slowing down. Companies can draw on their own technological progress and industry practices to deliver continually updated learning content, certification systems, and practice communities for learners at every stage, from students to working professionals. This is not just about offering courses. It is about building an end-to-end support system that enables learners to continually acquire new skills and adapt to change.

At the end of the day, in a world where AI is reshaping education, the greatest responsibility of companies lies not in technology output alone, but in embedding their innovation chains deeply into the talent development lifecycle with openness, pragmatism, and a long-term view. At Huawei, this is exactly what we are doing: building training grounds through Huawei ICT Academies, creating practice arenas through Huawei ICT Competitions, and launching initiatives like the AI 100 Schools Plan. Our goal is to stand alongside the education community and nurture a generation that does more than use AI tools, a generation that shapes the future of AI with creativity and responsibility.

Only when companies fully embrace their role as enablers and co-builders will AI cease to be a privilege for the few and become a light that guides every learner forward.

Standing on the eve of a computing power boom, we can already see the intelligent world taking form on the horizon. It is not a destination that any single individual or company can reach alone. The boundaries of technology are being broken every day. The boundaries of talent must be expanded together.

Content

Global Empowerment:
Government-Industry Collaboration for AI Ecosystems
Industry-Education Collaboration:
AI Talent Cultivation Through Partnership
  • Publisher

    ICT BG, Huawei Technologies Co., Ltd.
  • Presented By

    Liu Mingju, Peng Honghua
  • Consultant

    Sun Gang
  • Editor-in-Chief

    Xing Jingfan
  • Editor-at-Large

    Han Yu
  • Editors

    He Yinping, Liu Wei
  • English Editor

    Xu Shoujuan
  • Art Editor

    Jiang Jiawei
  • Editorial Board

    Niu Jing, Tavsultanova Tamara, Himanshu Mahajan, Sharan Gouda, Luo Qinglong, Shang Bingxue

No part of this document may be reproduced or transmitted in any form or by any means without prior written consent from Huawei Technologies Co., Ltd.

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01.
Insights and Imperatives:
AI Talent Demand and Development

Insights and Imperatives:
AI Talent Demand and Development

Shafika Isaacs

Dr. Shafika Isaacs

Director a.i., UNESCO Institute for Information Technologies in Education; Chief of Section for Technology and AI in Education, Future of Learning and Innovation Division, UNESCO

UNESCO: Putting Human Agency at the Heart of AI Education

UNESCO warns of "cognitive surrender" as students offload thinking to AI. A UN scientific panel confirms the risk — and calls for systemic change in how we teach and learn.

A senior UNESCO official leading the Organization's work on technology and artificial intelligence in education has warned that the rapid spread of AI across universities and schools is producing what researchers have termed "cognitive surrender", and has urged institutions worldwide to build the strategies and evidence base needed to reverse it.

Addressing an international gathering of educators, university leaders and industry partners convened by Huawei, the official said AI is now embedded in the daily lives of growing numbers of students and teachers. The emerging evidence, however, points in a troubling direction.

"More and more use of AI has not translated into better learning and better thinking," the official told delegates. "Most of us who are using AI are offloading our thinking to the machine. We are surrendering our writing, we are surrendering our thinking."

The term "cognitive surrender" was introduced in this context by Steven Shaw and Gideon Nave of the Wharton School in a preregistered study released as a working paper in January 2026. They define this phenomenon as the uncritical acceptance of AI outputs in place of one's own reasoning. Across three experiments with 1,372 participants, the researchers embedded an AI assistant that randomly returned either correct answers or confidently delivered wrong ones. In the study's central experiment, participants accepted the AI's faulty answers roughly 80 percent of the time and reported greater confidence in their responses than those who worked without AI. The finding sharpens a longer-standing research literature on cognitive offloading, which involves the delegation of mental work to external aids, by identifying the point at which delegation becomes dependence: where little or no independent view is formed against which the machine's answer can be checked.

This concern is now reflected in the Preliminary Report of the Independent International Scientific Panel on AI, released on 1 July 2026, that was presented to Member States at the first Global Dialogue on AI Governance in Geneva this week. The Panel, established by the United Nations General Assembly and co-chaired by Yoshua Bengio and Maria Ressa, cautions that cognitive offloading, in which users delegate mental work to AI rather than using it to support their own reasoning, can weaken critical thinking. In education, the Panel identifies an "illusion of competence": students may appear to perform better while using AI without developing the underlying thinking capabilities needed to repeat the work independently.

The Panel also suggests that this effect can be mitigated. One strategy would be for AI systems to be designed with safeguards that prompt students through the reasoning process, instead of supplying complete answers. Gains from AI in education were strongest when systems were built for clearly defined tasks, embedded in human-centered workflows and supported by AI capable teachers and peers. For UNESCO, these prospects for human-centred design have to be matched with cultivating the critical agency among teachers and students in their use of AI for learning.

From tool to agent

Speaking as a UNESCO representative but also as a teacher and professor with long experience of working closely with students, the official framed the challenge as one of the fundamental pedagogical questions of the age of generative and increasingly agentic AI: how learners and teachers can reclaim human cognition and human agency.

AI, the official observed, is no longer just a tool. It is increasingly an agent, capable of acting with growing autonomy outside human control. UNESCO's response has been to publish AI competency frameworks for teachers and for students, anchored in commitments to human rights, human agency, equity, inclusion and ethics. Both frameworks prioritize strategies to cultivate agency, ethical judgement, foundational AI knowledge and a creator's mindset: the disposition to shape the technology instead of consuming it uncritically. Students are encouraged not to accept ready-made answers or submit polished essays that the machine has in effect written, but to question, reason, and argue through critical exchange with AI and with their peers. For teachers, the framework calls for a corresponding shift toward assessing the learning process, not just its outputs.

Evidence from the classroom

The official pointed to the practice of Huawei's Most Valued Instructors as a demonstration of these practices in action. What the competency frameworks describe in near-theoretical terms, these instructors are enacting daily: keeping students engaged in cognitive struggle and cognitive friction, requiring them to muddle through, apply their executive function, use AI to scaffold reasoning, and learn by arguing, applying and building prototypes collaboratively and importantly, evaluating critically, their application in real world settings.

This convergence between frontline practice and the Scientific Panel's evidence on safeguarded, reasoning-focused AI use was, the official suggested, the most significant lesson of the event. Yet these instructors represent a small fraction of the education community, working within institutional systems and curricula that have not caught up with them.

Three calls to action

The official closed with three calls to action, each sharpened by the Panel's central caution that policymakers need scientific evidence to govern AI effectively, but that by the time the evidence is clear, it may be too late to act.

First, build the evidence base. The case studies presented at the event demonstrate pedagogical leadership but remain anecdotal. Systematic documentation is needed so that organizations working globally on institutional and system change can draw on this knowledge with confidence.

Second, move critical pedagogical practice from a few isolated departments in a given institution towards system-wide adoption. The educators leading this work must not remain an exceptional minority; their cases of critical pedagogical practice should be leveraged to catalyze change across institutions and systems, including those that are under-resourced and lack the human capacity to navigate AI critically.

Third, partner on shared infrastructure such as practice labs, turning individual, small-scale innovation into systemic change. Infrastructure of this kind would generate evidence and institutional change simultaneously, a direct response to the Panel s warning that waiting for conclusive evidence can also mean acting too late.

Soften or sharpen

"We have to decide as a people whether we will use AI to soften the human mind or to sharpen it," the official concluded. That decision runs in two directions at once. One is cultivating the human capabilities to engage critically with AI, the work the competency frameworks set out for teachers and students. The other is building technologies designed to strengthen human agency. The Scientific Panel's evidence shows this second choice is real and already consequential.

Insights and Imperatives:
AI Talent Demand and Development

Wu Lianfeng

Wu Lianfeng

Vice President and Chief Research Analyst, IDC China

Global ICT Talent Demand in the Age of AI: Trends, Gaps, and Solutions

A multi-pronged approach involving collaboration between multiple shareholders is necessary to tackle the steep demand for ICT talent in the AI era.

The explosive growth of AI is reshaping global labor markets, driving an unprecedented transformation in talent demand for information and communications technology (ICT) — the backbone of the digital economy. According to the ICT Job Roles and Skills in the Intelligent World white paper jointly released by International Data Corporation (IDC) and Huawei, the number of ICT jobs worldwide is expected to increase by 36 million by 2030, bringing the total to over 97 million. However, this opportunity is accompanied by skill gaps and supply-demand mismatches, which are emerging as critical bottlenecks constraining digital transformation. From job restructuring to skill evolution, and from regional disparities to collaborative solutions, the global ecosystem of ICT talent supply is undergoing a profound shift in the intelligent era.

Job ecosystem restructuring: AI-driven creation and evolution

In the era of the intelligent economy, AI is more than just a tool for transforming production — It is also reshaping job functions and skills within enterprises. On one hand, AI has created many new positions, such as prompt engineers, AI training engineers, and model reviewers. On the other hand, AI has made the iterative upgrade of skills a must for traditional ICT positions. For example, today's software professionals must not only be able to collaborate with AI tools to write code but also possess the ability to deeply embed AI capabilities into a wide range of products and build the next generation of intelligent, adaptive solutions.

Of particular note is the growing adoption of AI agents, which is accelerating the transformation of job skills and reshaping employee lifecycle development (see Figure 1). According to IDC's research, 66% of professional services firms and 47% of financial institutions have already heavily invested in the development and application of agents. "Digital employees" are increasingly taking over repetitive tasks, allowing human workers to transition to higher-value roles such as strategic planning and complex problem-solving. This model of human-machine collaboration has become the new normal in the ICT industry.

Figure 1: How agentic applications reshape the employee lifecycle

Figure 1: How agentic applications reshape the employee lifecycle

Given that employee skills are critical in determining the success or failure of enterprises' digital transformation, IDC's data offers cautionary insights: Skill gaps will hinder digital transformation efforts at more than 65% of companies worldwide, resulting in issues such as product development delays and revenue loss. Therefore, enterprises should prioritize investment in the cultivation and recruitment of digital talent.

Widening talent gaps: A global phenomenon with regional disparities

Major economies around the world have made AI-driven growth a strategic priority, and the shortage of ICT talent has evolved from a localized issue into a global, systemic challenge. It is estimated that there are currently around 61 million ICT jobs worldwide, and this number is projected to reach 97 million by 2030 — meaning an additional 36 million new positions over the next five years.

As a major digital economy, China faces particularly strong demand for ICT talent. By 2030, the country is expected to have 10 million new ICT jobs. Although there were 1.1 million computer science graduates in China in 2024, the gap in talent — particularly in areas such as AI development and deployment, cybersecurity, and AI hardware infrastructure — continues to widen, constrained by the disconnect between education and practice amid accelerating innovation. Demand is concentrated in technology hubs like Beijing, Shanghai, Shenzhen, and Hangzhou, where university-based hands-on projects, online training, and vendor micro-certifications are all emerging as popular approaches to cultivating innovative talent.

ICT talent markets in other regions around the world exhibit distinct characteristics (see Figure 2):

Figure 2: Global ICT talent demand

Figure 2: Global ICT talent demand

  • The North American market is facing a scarcity of high-end talent. The United States is expected to have 6 million new ICT jobs by 2030, with critical shortages in roles such as AI-native architects and large language model (LLM) security researchers. North American companies place a strong emphasis on interdisciplinary collaboration skills, with 51% of enterprises developing talent through a combination of internal training and individual self-directed learning.
  • Europe faces an ICT talent gap of 10 million, concentrated in major economies such as Germany and the United Kingdom, where specialists in AI, cybersecurity, and cloud computing are among the most in-demand roles. Overall, limited labor mobility within the European Union (EU), and Europe as a whole, hinders efforts to fill talent gaps across member states. Additionally, while university graduates in Europe generally have strong job-role alignment, there is a notable shortage of mid-level talent.
  • In regions like the Middle East and Africa, ICT talent gaps are widening rapidly. By 2030, Africa and the Middle East are expected to have 2 million new ICT jobs each. In these regions, low digital literacy and weak infrastructure are the main factors preventing the rapid closure of ICT talent gaps.
Figure 3: How AI applications reshape job skill requirements

Figure 3: How AI applications reshape job skill requirements

Evolving skills demand: Hybrid competencies and lifelong learning become the norm

We have entered an era of rapid skill evolution. For professionals, traditional expertise in a single technical domain is no longer sufficient to meet business needs. For students, rigid theoretical learning and conventional training are also inadequate to address the innovation demands of an intelligent future. Talent with a hybrid skill set — combining technical expertise, AI literacy, and soft skills — will undoubtedly be the focus of future talent development ecosystems.

At the technical level, the deep integration of AI with business is requiring professionals to surpass traditional skill boundaries and possess both domain-specific technical expertise and AI literacy. For example, cybersecurity specialists need to master the application of AI-driven threat detection tools, cloud computing specialists need to possess the ability to optimize AI resources, and data professionals are expected to be proficient in automated analysis and model validation. What these skills share in common is the deep integration of the "AI + vertical domain".

Furthermore, as intelligent tools mature, the importance of soft skills — such as communication, collaboration, critical thinking, and ethical judgment — will become increasingly pronounced. In fields like AI ethics governance, for instance, competencies in data privacy protection and algorithmic bias mitigation will become differentiating advantages for future ICT talent.

Additionally, the accelerating rate of skill obsolescence will make lifelong learning the norm. The renewal cycle for technical knowledge is now just 18 to 24 months, requiring professionals to continuously upskill through diverse channels — including, but not limited to, participating in corporate training programs, enhancing skills via online platforms or self-study, and contributing to open-source ecosystem projects.

Collaborative solutions: Building a multi-stakeholder talent ecosystem

Given the severity of the talent challenge, the efforts of a single entity are unlikely to succeed. Therefore, collaboration among enterprises, academic institutions, and governments is essential to building a sustainable talent ecosystem (see Figure 4).

Figure 4: An ICT talent cultivation ecosystem driven by industry-education collaboration

Figure 4: An ICT talent cultivation ecosystem driven by industry-education collaboration

Enterprises need to shift from passive hiring to active talent development. On one hand, enterprises should establish dynamic talent strategies, create dedicated roles like Chief Artificial Intelligence Officer (CAIO) to oversee AI talent development, and leverage intelligent tools to analyze skill gaps and design personalized training programs. On the other, they should deepen university-industry collaboration by developing joint curricula, building hands-on labs, and integrating real-world business projects into the talent development process. Collaborative cases between Huawei and Shanghai Jiao Tong University, and Huawei and Shenzhen Polytechnic University, demonstrate that such partnerships can strengthen the technology ecosystem, improve job-role alignment for graduates, and shorten talent training cycles.

Universities need to accelerate curriculum innovation. Universities should break down traditional disciplinary silos and establish flexible, innovation-oriented training models that combine theory with practice. For example, Shanghai Jiao Tong University's Student Innovation Center has significantly enhanced students' hands-on capabilities by providing an AI-focused practice environment. At the same time, universities should strengthen their faculty's industry relevance through industry-education collaboration, joint projects, and lectures delivered by industry experts, ensuring that teaching content stays aligned with the cutting edge of industry development.

Governments should play the role of ecosystem architects and enablers. At the individual level, government departments should recognize short-term skills certifications and open-source project experience. At the university level, they should increase investment in AI labs, cloud sandboxes, and other infrastructure, while promoting pilots for industry-education collaboration. At the systemic level, they should establish unified skill certification standards and use real-time employment data to guide talent development. Initiatives such as the Digital China strategy and the EU's Digital Europe Programme have emerged as key pillars supporting regional ICT talent development.

The global transformation of ICT talent in the age of AI represents both a challenge and an opportunity. Behind the expected 36 million new ICT jobs lies an urgent demand for high-quality talent in the digital economy. Meanwhile, the existence of skill gaps offers clear directions for individual career development, higher education reform, and corporate strategic planning. Moving forward, only by building a collaborative multi-stakeholder ecosystem — one that is led by the industry, supported by universities, enabled by governments, and empowered through open source — can we solve the challenge of misalignment between talent supply and demand.

Insights and Imperatives:
AI Talent Demand and Development

Education and Training Department, OpenAtom Foundation

Open Source as an Evolving Practice: Cultivating Talent in the AI-Native Era

OpenAtom integrates open source into college talent systems via "real projects, communities, contributions, and evaluation" for practical education.

As artificial intelligence (AI) becomes deeply embedded in software development processes, system architecture design, and industrial applications, both open-source innovation models and the competency profile of digital technology professionals are undergoing systemic restructuring. The focus of talent development is shifting from knowledge acquisition toward a combination of engineering capability, AI collaboration skills, systems thinking, a collaborative mindset, and the ability to effectively participate in open ecosystems.

Against this backdrop, the role of open source in education is also being fundamentally redefined, moving from a supplementary technical resource to a core piece of infrastructure for developing talent in the AI-native era. Open-source education should be built around real-world projects and open communities, guiding students to use AI tools in development practice, participate in community collaboration, contribution, and evaluation, and ultimately translate their performance into comparable and assessable outcomes.

The steadily maturing global open-source ecosystem already provides the conditions for universities to deliver education in this manner. Unlike traditional reforms that start with overhauling the curriculum, the real challenge lies elsewhere: systematically introducing existing open-source projects, platforms, and community resources into the teaching framework, and embedding them within established talent pipelines and institutional structures in order to make them reusable, constantly evolving educational assets.

Embedding open-source practices into the entire education process

OpenAtom Foundation has partnered with more than 20 pilot universities to develop a contribution-oriented open-source talent assessment framework. This marks a major shift for open-source education — from advocacy in principle to a teaching practice that is methodologically workable, institutionally operable, and genuinely measurable.

The OpenAtom Foundation offers a useful methodological model for universities that are exploring open-source education. Working from an ecosystem perspective, the foundation follows a pathway built around "real projects–real communities–real contributions–real evaluation". Through student open-source clubs, campus outreach initiatives, open-source competitions, and structured internship programs, it systematically brings mature open-source projects and community resources into university teaching and practice. The key to this approach lies in its "embedded" nature. Rather than replacing existing curricula, it weaves open-source practice into coursework, hands-on training, and skill assessments. Faculty are guided to structure their teaching around real projects and tasks; students are encouraged to participate as genuine contributors within working communities. Over time, this builds a sustainable educational methodology.

In addition, the Foundation has partnered with more than 20 pilot universities to develop a contribution-oriented talent assessment framework. By evaluating students' code contributions, collaborative processes, project outcomes, and ecosystem governance capabilities within open-source communities, it integrates their demonstrated capabilities into course grading, recommended graduate admission, and employment preparation. This marks a major shift for open-source education — from advocacy in principle to a teaching practice that is methodologically workable, institutionally operable, and genuinely measurable.

Building a multi-layered resource system for open-source education

Realizing open-source education requires a systematic framework of resources and support. A multi-layered resource system designed to nurture open-source talent is already taking shape, built on industry-wide collaboration across three main dimensions:

Foundational resources: Creating authentic engineering collaboration environments

At the platform level, code hosting and collaboration platforms such as AtomGit, Gitee, and GitHub have become essential infrastructure for open-source projects. These platforms extend beyond code hosting and version management. Through mechanisms like code review and community discussion, they create engineering collaboration environments that mirror real industry conditions. A growing number of universities are now turning classroom assignments into engineering practice, asking students to complete coursework directly on open-source platforms. This exposes students to authentic engineering standards, collaborative workflows, and community norms right from the outset, enabling a smoother transition from campus to industry.

At the project level, major open-source initiatives, including OpenHarmony, openEuler, openGauss, MindSpore, and CANN, have developed mature technical roadmaps and stable community governance structures. These projects combine high technical complexity, active communities, and well-defined application scenarios, making them well-suited to serve as core vehicles for long-term, sustainable open-source practice within universities.

Practice resources: Building a stepped participation pathway

To address the technical barriers students often face when first entering a community, open-source ecosystems are developing a practice pathway structured around task pools, mentorship, and progressive engagement. Students start with low-barrier tasks and, under the guidance of community mentors, gradually take on module development and maintenance. From there, open-source internships and competitions give them direct exposure to industry projects, allowing them to collaborate closely with experienced developers in real working environments.

This progression — from fixing a simple documentation error to owning an independent feature module — takes students through a complete cycle of understanding requirements, designing solutions, implementing code, and iterating on feedback. Along the way, they make the transition from learners to contributors, and their engineering capabilities and collaborative mindset grow significantly in the process.

Institutional resources: Crediting open-source contributions within academic management

For open-source education to be sustainable over the long term, what begins as voluntary individual participation must become an institutional arrangement. A number of universities have already taken the lead in formally incorporating open-source contributions into their teaching and management systems. On the student side, open-source contributions are recognized as course credit or practical credits, and achievements in open-source competitions factor into graduate admission recommendations, scholarship evaluations, and employment referrals. On the faculty side, universities are exploring how to incorporate open-source course development, community participation, and student mentorship into faculty performance evaluations and incentive systems. This institutional bridging not only improves educational outcomes but ensures that open-source resources are steadily converted into lasting teaching impact.

Diverse explorations in university implementation pathways

With real projects, community platforms, practice mechanisms, and institutional conditions now in place, universities are developing open-source education pathways tailored to their own educational missions. The following three approaches illustrate the range of models taking shape.

Curriculum-embedded model: Integrating open-source projects into classroom teaching

This approach anchors open-source education within the core curriculum, with an emphasis on how to contribute to open source right in the classroom. By bringing real open-source projects into the classroom, students learn engineering standards, collaboration workflows, and community norms while completing assignments and coursework. The model is commonly applied in core courses such as operating systems, software engineering, databases, and AI, where classroom tasks are aligned with actual community topics.

Research-focused universities are particularly well-positioned for this model. An excellent example is Tsinghua University's Apache IoTDB project, an in-house open-source initiative that brings students directly into project development and community collaboration. Through coursework and research training, students participate in code development, technical discussions, and version iteration. Their contributions then feed back into course content and the broader evaluation system. This results in a mutually reinforcing cycle of research innovation, teaching reform, and community building. Anchored in high-level research projects, this model keeps classroom teaching closely attuned to the evolving technological frontier.

Practice-driven model: Building engineering skills through hands-on project work

This approach primarily utilizes open-source clubs, labs, and competition platforms, creating a dedicated practice space that operates with relative independence and continuity. Foundational knowledge is delivered through the standard curriculum, while students mainly develop capabilities through sustained project practice and community engagement. As the model places less pressure on curriculum reform and can be flexibly implemented, it is easier to roll out across a wide range of institutions.

At Peking University, student clubs and competition platforms form the core of a student-led open-source practice system. Through organized project work and competitions, students learn by contributing, and their output feeds back into teaching improvement and skill assessments.

At application-oriented universities, this model often integrates with industry-education collaboration. For example, Tianjin University of Science and Technology has built a four-in-one framework linking coursework, community, competition, and industry, translating real industry tasks into teaching and practice content. Meanwhile. Shenzhen University of Information Technology combines project-based training with an industry mentor system to cultivate OpenHarmony engineers, strengthening both students' engineering competence and employability.

Evaluation-driven model: Weaving open-source contributions into institutional evaluation

This approach uses policy instruments to embed open-source contributions into key evaluation points across the university, shifting open-source education from voluntary participation to an institutionally-driven model. Here, emphasis is on designing systems that generate lasting incentives, thus making open-source practice a normal, ongoing element of talent development.

At North University of China, a contribution-oriented talent evaluation mechanism has been systematically implemented through university-level policies, integrating open-source outputs into both student assessment and faculty review. This has moved open-source education from an experimental initiative to a standard institutional practice. At Fudan University, a collaborative framework involving the university, enterprises, and communities — paired with carefully designed incentives — guides students toward sustained, stable participation in open source. This has resulted in a shift from individual interest to organized, systemic engagement, creating a virtuous cycle in which practice deepens and teaching improves in tandem.

Challenges ahead and pathways to systemic improvement

Despite clear progress in open-source education across Chinese universities, four challenges persist at the national level. The first of these is a lack of systematization, with many scattered practices but little institutional sedimentation. Second is a mismatch between supply and demand, as classroom learning remains disconnected from real community participation. Third is insufficient institutionalization, with open-source contributions yet to be widely integrated into course assessment, competition evaluation, or targeted incentives. Fourth is limited support capacity, due to an ongoing shortage of suitable platforms and tools and faculty with hands-on experience.

Addressing these issues will require systemic efforts at the institutional level. Universities need to embed open-source education into their broader talent development frameworks, deepen student engagement with real open-source communities, and steadily build contribution-oriented evaluation mechanisms. At the same time, faculty training, shared resource development, and platform collaboration can lower the barriers to implementation and improve both the quality and impact of open-source education.

In summary, open-source talent development in the AI-native era needs to evolve further — from cultivating code contributors to nurturing innovators and ecosystem builders. Through multi-stakeholder collaboration in advancing open-source education, we can help build an internationally oriented talent development system that supplies skilled professionals to the broader digital technology and AI ecosystem.

02.
Global Empowerment:
Government-Industry Collaboration for AI Ecosystems

Global Empowerment:
Government-Industry Collaboration for AI Ecosystems

Piti Srisangnam

Dr. Piti Srisangnam

Executive Director, ASEAN Foundation

Xu Ke

Xu Ke

Vice President, Asia Pacific Region, Huawei

Rooted in Asia-Pacific, Building a Digital Ready Future Together: Huawei's Localized AI Talent Practice

From classrooms to cloud infrastructure, Huawei is building a localized AI talent ecosystem across Asia-Pacific — with partners to train the region's next digital leaders.

The ASEAN Digital Economy Framework Agreement (DEFA) is expected to be signed and implemented in 2026, setting out an ambitious vision to reach a digital economy scale of US$2 trillion by 2030. As ASEAN rapidly emerges as a global AI hub, the region holds tremendous growth potential. Within this blueprint, Huawei is not a bystander, but a key builder and enabler.

Co-building the ecosystem: Establishing a multi-tier AI talent development system

Integrating talent development with regional economic growth is essential. In Asia-Pacific, Huawei has built a talent cultivation system centered on Huawei ICT Academy, connecting policy, academia, and society to support digital transformation.

By the end of 2025, Huawei had partnered with more than 340 universities across 18 Asia-Pacific countries to establish Huawei ICT Academies, which have become key bases for nurturing local digital talent.

In Thailand, Huawei has worked with the Ministry of Digital Economy and Society and the Ministry of Labour to integrate Huawei certifications into Thailand's National Occupational Standards framework under a "One Exam, Two Certificates" model, allowing students to obtain both the Huawei certification and the national vocational qualification certificate through a single examination.

In addition, the jointly launched Digital Intelligence Innovation and Talent Development Cooperation Plan with Chulalongkorn University marks another major milestone in Huawei's industry-academia-research collaboration. This initiative integrates Huawei's cutting-edge technologies and industry best practices with the university's teaching and research strengths to cultivate high-end AI innovation talent.

Technology empowerment: Supporting AI talent development with advanced infrastructure

High-quality AI talent development cannot be achieved without advanced technological infrastructure. In its Intelligent World 2035 report, Huawei projects that by 2035, intelligent ICT infrastructure will need to support 900 billion AI agents, deliver 100,000 times greater computing power, 500 times greater storage capacity, and 100 times greater network connectivity. To meet this, Huawei is accelerating future-oriented infrastructure deployment across Asia-Pacific, including all-optical networks, upgraded IP transport systems, and next-generation data center networks.

In Indonesia, after establishing the Jakarta 3-AZ data centers, Huawei will launch a fourth AZ in 2026 to further support digital transformation. Through AI and cloud technologies, Huawei empowers individuals, enterprises, and government agencies, embodying Indonesia's spirit of gotong royong (mutual cooperation) and upholding "In Indonesia, For Indonesia, By Indonesians". These infrastructures are also accessible to universities for teaching and research. To date, Huawei has partnered with more than 275 universities and institutions in Indonesia, and has cultivated over 185,000 digital talents locally.

Promoting learning through competition: Unlocking youth innovation potential

The Huawei ICT Competition is a key regional talent platform. In 2025, Huawei, together with the ASEAN Foundation, co-hosted the Asia-Pacific Regional Final in Kuala Lumpur, drawing more than 8,000 students from over 20 countries and regions.

The Huawei ICT Competition goes beyond technical skill. It aims to drive three shifts in digital capability among Asia-Pacific youth:

  • From theoretical knowledge to real-world application: The competition's tracks go beyond theory, challenging participants to solve industry problems and address real needs. In the Innovation Track, for example, participants must balance industry scenarios, social impact, and commercial value to develop solutions that address real-world challenges.
  • From skills acquisition to systems thinking: Participants step beyond code-level implementation to examine how technology is reshaping industries from a broader perspective. In 2026, a new Cangjie programming track will be introduced in Asia-Pacific, reflecting the evolving tech stack of the AI era. Contestants will be required to complete end-to-end tasks — from language feature application to AI agent development — within a set time frame. They must not only build holistic solutions but also learn to collaborate with AI in programming. This approach aims to develop well-rounded talent with solid coding skills, systems thinking, an innovative mindset, and engineering capabilities.
  • From individual growth to inclusive empowerment: In the Asia-Pacific region, the competition has introduced the "Tech4Women" Award to encourage female participation, helping to shift the talent ecosystem from a narrow focus on technical excellence toward greater diversity and inclusion.

Students from Singapore University of Social Sciences and Cebu Technological University won the Grand Prize at the 2024–2025 Global Final, demonstrating the achievements of AI education in Asia-Pacific universities.

Co-building the future: The ASEAN Foundation's "Digital Ready House"

The journey of cultivating digital talent in the Asia-Pacific region is a deeply collaborative endeavor. In this mission, the ASEAN Foundation stands as a pivotal partner, actively supporting Huawei's policies to prepare and upskill ASEAN citizens for an increasingly intelligent world. While Huawei accelerates the deployment of future-oriented ICT infrastructure, the ASEAN Foundation focuses on the human element, ensuring the region's people are ready to inhabit this new ecosystem.

The ASEAN Foundation envisions the preparation of citizens for this digital and technological transformation as the construction of a new, resilient home — an "ASEAN Digital Ready House". This comprehensive approach ensures that technological advancement is matched by human capability and security:

  • The foundation: Just as a sturdy house requires an unshakable base, the bedrock of this digital transformation is digital literacy. The ASEAN Foundation spearheads numerous initiatives designed to equip citizens with fundamental digital skills, ensuring that technology is utilized responsibly, ethically, and safely from the ground up.
  • The windows and doors: A dynamic house must have windows and doors that open to new horizons. In the digital economy, these represent access to opportunity. Through collaborative efforts with partners like Huawei, the ASEAN Foundation works to empower small- and medium-sized enterprises (SMEs) across the region. By helping SMEs seamlessly integrate advanced technology into their daily business operations, this partnership creates sustainable, forward-looking commercial opportunities. "Enhancing Digital Skills of ASEAN SMEs (EDS-ASEAN)" is the best example delivered in partnership between ASEAN Foundation and Huawei.
  • The roof and fence: As digital ecosystems expand, they inevitably attract new risks. A strong roof and a secure fence are essential to protect the house, recognizing that malicious actors exploit technology just as readily as innovators do. The ASEAN Foundation is deeply committed to building robust cyber-resilience among citizens and SMEs to defend against digital threats and scams. In this critical area of cybersecurity, Huawei's industry-leading technological expertise serves as a vital shield, fortifying the region's digital defenses.
  • Living in the house: Finally, the true measure of a home is the quality of life within it. The ultimate goal is to ensure ASEAN citizens can thrive in a balanced, sustainable digital environment. To this end, the partnership's focus extends beyond mere technical proficiency to the development of skills that enhance the holistic digital well-being of the population.

Localized integration: Respecting diversity and adapting to local contexts

A key part of Huawei's localized AI talent development in Asia-Pacific is making learning materials accessible. To this end, Huawei has translated AI and ICT textbooks into Thai, Indonesian, and other local languages — a deliberate effort to lower the barrier for students and ensure that high-quality educational resources are available in their own languages. This approach to teaching materials and curricula localization reflects Huawei's broader commitment to meeting diverse learners where they are.

When ASEAN ministers emphasized "academia-industry collaboration" through the Hanoi Digital Declaration, Huawei had already been implementing this approach. In Thailand, Huawei has trained over 100,000 ICT talents, more than 20,000 cloud and AI developers, and over 10,000 5.5G and photovoltaic engineers. At Huawei's cloud data center in Jakarta, local engineers maintain an AI computing platform that supports digital services across the archipelago, accelerating the intelligent development of domestic enterprises. In Malaysia, Huawei has partnered with local universities to establish 53 ICT Academies, training more than 54,000 digital professionals

Ultimately, Huawei's AI talent cultivation is not a one-way export; it is a shared ecosystem with Asia-Pacific countries. Through the Digital Ready House framework, the ASEAN Foundation and Huawei are helping to ensure that the region's digital future is technologically advanced, secure, equitable, and human-centered.

Global Empowerment:
Government-Industry Collaboration for AI Ecosystems

Dinara Shcheglova

Dinara Shcheglova

Vice Minister of Science and Higher Education, Republic of Kazakhstan

AI-SANA: Unlocking Kazakhstan's National Talent Potential

Through its four-phase AI-SANA project, Kazakhstan is systematically building national AI literacy and innovation capacity in partnership with Huawei.

AI-SANA

AI has become the core economic engine for almost every country in the world, driving productivity and redrawing the global competitive landscape. But for Kazakhstan, a country navigating economic transformation, AI is more than the next technology cycle — it is a strategic anchor for our national modernization.

President Kassym-Jomart Tokayev has often spoken on this publicly, both at home and abroad: AI education must be woven into the country's human capital strategy, and the pipeline of AI-ready professionals must be built without delay. As such, our government has formally designated AI research, education, and application as a national priority. We are working hard to reframe tomorrow's technological challenges as today's opportunities for national growth.

In fact, this is where the AI-SANA project was born. Developed through a deep strategic partnership with Huawei, AI-SANA is a flagship education initiative within Kazakhstan's national digital strategy. Its mission is to cultivate AI talent at scale through public-private collaboration.

What is AI-SANA: Rewiring the nation's talent DNA

AI-SANA is not a standalone teaching program. It is a top-down, national-level effort to reengineer how Kazakhstan cultivates talent. President Tokayev announced the initiative in December 2024, assigning the Ministry of Science and Higher Education to lead its rollout. AI-SANA is intended to embed artificial intelligence into higher education and produce a new generation of professionals who can develop and deploy AI solutions across key sectors of the economy. The project unfolds in four phases.

Phase 1: Nationwide AI literacy

The first phase focused on introducing AI courses across 95 universities and upgrading faculty capabilities. Drawing on Huawei's technological resources, Coursera's global course library, and the Astana Hub innovation center, we launched introductory AI courses to systematically build students' foundational skills. By the end of 2025, every university in the country had achieved full coverage of introductory AI courses.

Phase 2: Interdisciplinary AI talent

Guided by the Council for the Development of Artificial Intelligence, this phase deepens practical teaching in AI programming, machine learning algorithms, and adjacent fields. It introduces an entrepreneurship-driven model, with plans to train hundreds of thousands of students in AI entrepreneurship, equipping them to create higher value at the intersection of AI and traditional industries.

Phase 3: Business incubation

This phase focuses on end-to-end support for graduates, from startup prototyping to commercial launch, covering business model design, project management, and investment readiness. The target is to help 60,000 graduates turn their AI skills into mature business ventures, fusing technical education with entrepreneurial practice.

Phase 4: Growth at scale

The country will reinforce support for innovative AI projects through policies, dedicated funds, and tax incentives. Within the education system, the goal is to foster 1,500 high-growth AI startups, scaling a national AI ecosystem that is broad-based and self-sustaining.

To date, Phase 1 is already complete and has set a national benchmark. More than 680,000 students have completed AI courses and earned certification; around 100,000 have moved into high-tech projects. The numbers reflect something deeper: the steady unlocking of the country's human capital potential.

Proof in practice: The technical power behind AI Expo

In October 2025, I attended the AI Expo hosted by L.N. Gumilyov Eurasian National University during AI-SANA Week. The innovations on display were a direct window into the successes AI-SANA is producing in smart education, environmental management, and accessible information services.

One team at the expo had built an accessible navigation system that uses visual perception to guide people with visual impairments indoors. Another developed a digital system called SignBridge, which instantly converts text into Kazakh sign language through 3D avatars, breaking down information barriers for the hearing-impaired. Other projects, such as an environmental monitoring electronic nose and a voice authenticity detection system, reflected students' deep engagement with complex issues like ecological protection and digital security. These outcomes speak to the tangible impact of AI-SANA on talent development.

Synergy: The role of technology partners in national digital transformation

In an era of accelerating digital transformation, the alignment between government and leading technology companies has become critical. In Kazakhstan, these companies do more than just create cutting-edge technologies. They also unlock the ability to scale and sustain these technologies within our national education system.

AI-SANA is a prime example of this kind of public-private partnership. In this project, we turned to a global technology provider to back up our national strategic goals with tangible tools and resources. The Ministry partnered with Huawei to gain free access to advanced AI education resources for our budding talent. These resources made it possible to quickly build a standardized, high-quality AI curriculum with nationwide reach in a compressed timeframe, establishing a unified methodology and consistent teaching standards.

Localization has been equally important. Core AI courses have been localized, including translation into Kazakh, and deeply adapted to the national higher education system, significantly improving the accessibility of AI education, reaching students across disciplines while strengthening the practical, application-driven focus of instruction.

Deep collaboration: How Huawei helps unlock national talent potential

AI-SANA would not have been able to achieve these early results without our systematic collaboration with Huawei. Within this partnership framework, Huawei has not only provided high-quality educational resources and advanced technology platforms, but has also made significant contributions in institutional capacity building and sustainable education infrastructure.

In 2024, we launched Huawei ICT Academies at eight strategically significant universities across the country. With their scale and standing in the higher education system, these anchor universities serve as hubs for disseminating AI capabilities, strengthening the national talent pipeline, and laying solid groundwork for AI-SANA for the long term.

At the same time, the Ministry and universities received free access to the Huawei Talent Online platform, which spans 22 ICT domains including AI, cloud computing, cybersecurity, networking, big data, and programming. This unified digital platform has not only enhanced the scalability of education delivery and the flexibility of personalized learning pathways, but also ensured equitable access to cutting-edge technology knowledge for students across different regions. The result is a sustainable digital education model aligned with the country's long-term human capital goals.

Figure 1: 'AI-SANA: Building Talent for the Future Economy' roundtable at Digital Qazaqstan 2026

Figure 1: "AI-SANA: Building Talent for the Future Economy" roundtable at Digital Qazaqstan 2026

By the end of AI-SANA's preparatory phase, over 200,000 students had completed Huawei AI courses and received official certification — tangible proof of what this public-private model can deliver and a template that others can learn from.

In short, the collaboration with Huawei has grown beyond any single project or phase. It is now a long-term, systemic partnership centered on talent development, bolstering Kazakhstan's efforts to build national talent in AI and ICT.

The road ahead

AI-SANA will continue to advance over the next three years within the framework of the digital national strategy set out by President Tokayev. The priorities are clear: Deepen AI talent cultivation, expand multi-party collaboration, and refine a multi-tier talent development system. The project aims to incubate 1,500 competitive AI startups and build an international talent platform, generating the internal momentum Kazakhstan needs to become a digital powerhouse.

We would like to recognize the role Huawei has played. Huawei has been integral to the project, with substantial contributions in curriculum development, platform support, and competition organization. This partnership is not merely a sharing of technology and knowledge. It is a long-term investment in Kazakhstan's future. We look forward to deepening our collaboration — advancing a high-quality talent development system that drives the country's digital transformation forward.

Global Empowerment:
Government-Industry Collaboration for AI Ecosystems

Dr. Mohamed Madkour

Dr. Mohamed Madkour

VP, ICT Solutions & Marketing, Huawei ME&CA

Catalyst of a Digital Future: Huawei's ICT Talent Ecosystem in the Middle East and Central Asia

ICT talent powers intelligent economies. Huawei is expanding its talent ecosystem across ME&CA — building local workforces capable of realizing national visions.

The advanced information and communications technology (ICT) industry is undoubtedly the foundation for the competitive future of countries worldwide and their global leadership rankings. From daily life to national visions, across all industries and economies, everything now centers on digital transformation — powered by intelligence and built on green, quality connectivity. In this era where intelligence and digital transformation are reshaping industries and economies alike, it is critical for countries to secure transformation resources, particularly talented people, and create the environment necessary for sustainable talent and capability cultivation.

ICT talent: A catalyst for countries' vision and regional growth

Demand for digital skills and talent has risen sharply over the past few years. AI in particular has created many new job markets, while companies and governments across the globe compete over scarce talent resources in the hopes of gaining a competitive edge in the AI era. However, most skill and talent development strategies still don't fully align with the opportunities and challenges posed by AI. Therefore, determining how best to build a scalable and sustainable AI-ready workforce will be key to unlocking greater economic and social value. A larger and more capable ICT workforce will mean more research, development, and invention, resulting in more patent applications and grants in the ICT sector. In turn, patents contribute to the growth and competitive advantages of ICT firms, influencing their market share, productivity, and size — which, in turn, creates higher demand for ICT talent.

The Middle East and Central Asia region is clearly at the forefront of innovation and ambition. Gulf Cooperation Council (GCC) countries are drawing the world's attention thanks to early adoption of advanced innovative technologies like AI, 5G-Advanced (5G-A), and cloud, as well as for cutting-edge digital services and applications that enhance people' lives.

Middles Eastern governments have clear ambitions to transform their countries and make them global digital hubs. Nations such as the UAE, Saudi Arabia, and Qatar are moving up global digital competitiveness rankings, driven by national policies like Saudi Vision 2030, UAE Centennial 2071, and Qatar Vision 2030, as well as the region's growing pool of ICT professionals. Many other countries have also outlined their visions for digital transformation, with initiatives like Kuwait 2035, Oman 2040, Pakistan 2025, and Bahrain 2030. They are all targeting greater GDP growth and economic diversification through ICT industrialization and industry digitalization.

Central Asian countries are also making significant progress. For example, Uzbekistan's 2030 Strategy and the Kazakhstan 2030 Strategy highlight digital technologies and set ambitious goals for building a regional digital hub. They also place particular focus on digital talent as part of their IT outsourcing strategy, supported by their growing young populations.

A common denominator of all countries in the region is creating jobs. The ICT sector is sure to create millions of new jobs in the region by 2030, particularly in regards to AI, cloud computing, and cybersecurity.

"ICT Talent for Intelligence" & "Intelligence for ICT Talent"

Huawei is honored to have served this region for more than a quarter of a century, and the company is committed to nurturing and developing ICT talents with the skills and mindsets required to create a better future for themselves and their countries. Huawei believes that building a comprehensive and healthy ICT talent ecosystem directly translates into trillions of dollars of economy growth, millions of jobs, and hundreds of thousands of skilled university graduates, all while benefitting thousands of industries. This is why Huawei has focused on the continuous development and expansion of this ICT talent ecosystem by collaborating with governments, organizations, universities, and industries to introduce global expertise in advanced ICT, R&D capabilities, and industrial experience to the region (see Figure 1).

Figure 1: Effective and proactive collaboration

Figure 1: Effective and proactive collaboration

In the AI era, the foundational layer is AI talent with the ability not only to engineer AI infrastructure supply but also to digitalize industrial demand. Simply put, this means "ICT Talent for Intelligence". This phrase also rings true in reverse as "Intelligence for ICT Talent", which describes the collective need for advanced technology innovations in the cultivation and development of ICT talent. This is particularly important for enhancing education process efficiency and talent quality, as well as ensuring continuous development and skill upgrade. The Huawei Middle East and Central Asia region both believes in and champions these principles.

Huawei's journey to creating and expanding a healthy ICT talent ecosystem is more than just an educational initiative — it's an investment in the region's economic and technological future. By equipping individuals with world-class ICT skills and certifications, Huawei empowers countries to drive sustainable innovations in key industries. This fully aligns with and supports the region's national policies and vision. Huawei believes that the main resource and life blood of digital transformation is skilled ICT talents. These are the minds who innovate, the muscles that execute, and the hearts which pump intelligence to all other industries, boosting productivity and outcomes.

Huawei's ICT talent strategy and leadership in the region

Huawei understands that universities and academic programs play a critical role in equipping students with the tools needed to solve industrial problems. Yet, it also believes in the power of joint learning. When students study technology tools alongside real-world industry and enterprise transformation demands, the result is well-rounded ICT talent. Such individuals enjoy faster time-to-job and deliver a greater positive impact on industries. This was precisely Huawei's thinking when it set out to establish more than 360 Huawei ICT Academies partnering with reputable universities in 19 countries across the Middle East and Central Asia region.

Beside creating a favorable environment for cultivating skilled digital talent, Huawei ICT Academies stimulate talent and unleash their potential through job fairs and internship programs. Huawei ICT Academies also take advantage of the most advanced intelligent platforms to provide innovative smart campus applications and apply AI throughout the entire learning process, thus transforming higher education. Participants gain access to Huawei's cutting-edge technology and tools, ensuring they are always familiar with the latest industry standards.

Additionally, certifications such as Huawei Certified ICT Associate (HCIA) and Huawei Certified ICT Expert (HCIE) validate their skills and increase their employability in the global job market. Through this structured, comprehensive, and multi-faceted platform, Huawei has been empowering the next generation of transformation leaders to create a sustainable and constantly-evolving ICT talent pool that benefits every industry.

The mechanism covers three scenarios — technology, business, and strategy — across the whole lifecycle, from gap analysis to planning, cultivation, and, finally, to assessment. This structured process ensures that individuals are not only technically skilled but also equipped with the mindsets needed to tackle real-world challenges.

Huawei ICT Academy and ICT Competition have rapidly developed thanks to support from governments, national policies, partners' trust, and Huawei's commitment to value creation and ICT talent ecosystem expansion. In 2024, Huawei expanded its leading talent development initiatives to include collaboration with global organizations like UNESCO Institute for Information Technologies in Education (IITE), ensuring that global learning standards were brought to local markets. To guarantee long-term innovation and ICT talent growth, Huawei provides ongoing mentorship programs, through which young talents can collaborate, experiment, and develop solutions tailored to market needs. These hubs also foster entrepreneurship by connecting students with investors and industry stakeholders. Over the last decade, Huawei has trained half a million ICT talents and is committed to cultivating one million ICT talents in the region over the next decade.

Huawei ICT Academies & T.H.E. GOLD Talent Program

In early 2025, Huawei announced its T.H.E. GOLD Talent program in collaboration with the IITE, aiming to transform higher education and foster the digital intelligence talent pool across the Middle East and Central Asia region to meet the demands of the AI era. This initiative marked the beginning of Huawei's second decade of commitment to ICT talent development.

The landmark program comes at a pivotal moment, set against the backdrop of transformative technologies such as 5G-A, AI, cloud, cybersecurity, and Industry 4.0. The unveiling ceremony was attended by executives from Huawei, IITE, leading universities, and partners in the region, demonstrating a collective commitment to nurturing ICT talent in the region.

This program is an evolution of Huawei's talent cultivation efforts, tailored to meet the requirements of the AI era. T.H.E. GOLD Talent program was developed while aiming to explore Thousands of miles, collaborate with Hundreds of universities, and Empower an intelligent future, all while Gearing up together for countries to Own their future journeys through the adoption of Huawei's Leading platform for the intelligent Development of intelligent talents.

As illustrated in Figure 2, this program aims to close the loop in talent cultivation by connecting participants with internships and job opportunities across all industrial stakeholders, not just Huawei. It also targets more proactive collaboration and offers parallel human resource (HR) programs to unleash the true value of talent.

Figure 2: Closing the cultivation loop, unlocking talent potential

Figure 2: Closing the cultivation loop, unlocking talent potential

With AI and advanced connectivity driving rapid technological advancement and limitless applications, traditional ICT talent cultivation is facing growing challenges. Different markets, societies, and industries all have their own unique problems to solve. Huawei has firsthand experience of this, through which it gathered insights and was able to put together innovative practices built upon the following four key elements:

First – Creating a favorable environment through collaboration is the foundation for digital talent cultivation. Its unique collaboration with ministries of information and communications technologies are excellent examples.

Second – The goal is to cultivate skilled digital talent with complex industrial problem-solving abilities. Participants in Huawei ICT Competitions have already developed multiple innovative solutions based on AI, cloud computing, and big data. These innovations have both commercial and technical value. Industry solution leaders — those who can form their own local startups and enrich the economy — deserve to be advocated.

Third – A parallel HR program is needed to close the cultivation loop and unleash talent potential. After joining Huawei ICT Academy and winning the ICT Competition, many students across the region have either taken a job or internship at Huawei or a partner company. In 2025, Huawei organized more than 20 ICT talent job fairs in the region, recruiting more than 200 students from the Huawei ICT Academy.

Fourth – Intelligent technologies should be applied throughout the ICT talent development process. Transforming higher education is the most effective way to cultivate talent for intelligence. Huawei, with its leading ICT technologies, is championing these intelligent education and smart classroom solutions.

Over the next few years, as the world explores the transformative power of AI, the well-rounded leading talent, whose role is not only to build the AI supply but also inspire demand by understanding other silos industries, will be essential. Therefore, Huawei believes that, at the organizational level, AI will create a form of symbiosis between two opposite structures: The first is super-individual clusters, which are flexible, agile teams that break down the silos and integrate resources; the second is mega-corporate platforms that rely on AI-native operations for efficient collaboration and open ecosystems. Hybrid organizations act as a bridge between these two structures, facilitating the bidirectional flow of talent and resources and expanding industrial intelligence from specialized applications to different domains. Huawei excels and is experienced in this bidirectional flow which is what will shape its collaborative efforts in the region through T.H.E GOLD Talent Program.

Intelligence for classroom, campus, and learning environment

By 2035, Huawei believes that AI will be deeply integrated into education, creating a new human-machine collaborative model for talent cultivation and self-study. This will make teaching resources more widely accessible through new ICT channels, and will also help compensate for shortages of on-site teaching resources, like teachers. As a result, quality education will be more accessible, promoting educational equality across urban and rural areas.

AI-powered teaching models will cater to individual students, better addressing self-study needs and allowing teachers to more accurately tailor teaching approaches. This intelligent teaching environment will offer more interactive experiences and intelligent services, moving away from spoon-feeding teaching methods. Overall, the optimization of teaching resources, novel teaching models, and intelligent teaching environments powered by ICT, especially AI, will enhance education equality and quality, and better address the needs of personal and societal development.

While countries and government services are digitally transforming, the education sector stands at the forefront of this profound change. From classrooms equipped with intelligent technology to cloud-based systems that foster seamless learning experiences. With the world facing challenges like inequality, accessibility, and opportunity, innovative new technology solutions are helping make education equitable, high-quality, efficient and accessible to all. Huawei is playing a key role in this transformation through a wide range of solutions such as ICT talent development, Smart Classrooms, Education Networks, Education Cloud, High-Performance Data Analytics (HPDA), and Smart Campus — enhancing how it learns, teaches, and manages education, and providing opportunities for a more inclusive, high-quality educational experience.

Today, before class, AI-powered tools in Huawei's Smart Classroom help teachers prepare lessons tailored to each student's needs. By analyzing past performance and engagement data, the system can suggest resources, recommend personalized content, and help teachers build lesson plans that suit diverse learning styles. During class, Huawei's Smart Classroom enhances interactivity by employing tools that support real-time collaboration. Students can participate in live polls, group projects, or digital board activities, whether in person or remotely. AI helps track engagement and provides instant feedback, allowing teachers to adjust their approaches in real time to maximize participation and understanding. After class, AI-driven analytics offer insights into each student's performance and engagement levels, allowing teachers to quickly identify who may need additional support or an increased level of difficulty. Students also receive personalized feedback and recommended resources for review or enrichment, fostering continuous learning.

It is also important to point out that establishing an Education Network is necessary for forming the backbone of modern educational institutions, as this ensures connectivity across classrooms, campuses, and remote locations. Lack of access to high-speed internet and inadequate infrastructure hinder students' ability to access quality education. Huawei's Education Network solutions overcome this by building scalable, secure, and high-speed networks that seamlessly connect students, educators, and resources. With a robust network in place, students can access digital textbooks, online lectures, and virtual laboratories from any device, while educators benefit from uninterrupted access to digital teaching tools and resources. Furthermore, with Huawei's cloud platform, educational institutions can centralize resources, easily manage large-scale data, and provide uninterrupted access to educational content from any location. This removes geographical barriers and allows students in remote areas to engage with the same resources as their urban counterparts.

Finally, establishing a smart campus is essential and goes far beyond a "connected" campus. A smart campus expands the physical space into unlimited digital space, elevating learning process and cultivating the talent needed to foster an intelligent industry ecosystem.

The engine of tomorrow: Why talent cultivation cannot wait

ICT talent stands as the new labor factor — it is the core engine driving the development of the digital economy. Such talents have evolved from narrowly defined technical personnel to a diverse group of professionals encompassing technical, strategic, development, management, and operational roles, becoming one of the most critical strategic resources for any nation, in every industry. Economies that invest boldly in talent development and digital adoption will unlock new growth opportunities and secure their positions in the global intelligent economy. Those that hesitate risk falling behind — not only economically, but in reaping the broader societal benefits of digital intelligence.

Huawei's commitment to ICT talent cultivation in the Middle East and Central Asia is a sustained effort, and a strategic investment in the region's economic future. By aligning its programs with market needs and countries' national visions, Huawei is cultivating a new generation of professionals to drive innovation, create jobs, and significantly boost GDP.

The strong, long-standing partnership between Huawei and the region, combined with countries' investments into transforming education and cultivating ICT talent, has led to significant progress toward societal intelligent transformation. However, a number of challenges remain. The rapid pace of technological change requires continuous adaptation and investment in both education and infrastructure. A large pool of AI professionals with the skills to solve a broad range of complex industrial problems is needed.

Together with partners and industry stake holders, Huawei is committed to shaping a future where local digital talents in the Middle East and Central Asia stand at the forefront of global innovation and make history for both themselves and their countries.

Global Empowerment:
Government-Industry Collaboration for AI Ecosystems

Husni Teja Sukmana

Prof. Husni Teja Sukmana, Ph.D.

General Secretary of APTIKOM

APTIKOM–Huawei Joint Initiative: Enhancing Education Through Industry Standardization in Indonesia

APTIKOM and Huawei unite to align Indonesia's ICT education with industry standards, bridging the graduate competency gap in pursuit of Golden Indonesia 2045.

Background

The digital era presents Indonesia with vast opportunities and significant challenges, which comes amidst an important period for the country as it approaches its centennial celebration of independence in 2045. Through the Golden Indonesia 2045 Vision, Indonesia aims to become a sovereign, advanced, fair, and prosperous nation by its 100th anniversary of its independence in 2045. Launched by President Joko Widodo in May 2019, and continued in President Prabowo Subianto's Asta Cita program, this is a mission that aims to position Indonesia among the world's top five largest economies.

One of the critical issues facing the country lies in the gap between graduate competencies and industry requirements. Despite a tripling in graduate numbers over the last decade, as of August 2024, more than 842,000 university graduates remained unemployed, and Indonesia still needs over 600,000 skilled digital talents every year to support its growth and digital transformation. This signals a pressing need to align higher education curricula with industry standards and the Indonesian National Work Competency Standards (SKKNI), as mandated by Presidential Decree No. 8/2012. SKKNI is developed by panels of experts under the purview of the Ministry of Communication and Digital Affairs and is subsequently enacted as a national regulation by the Ministry of Manpower.

However, many university curricula still do not meet Level-6 standards of the Kerangka Kualifikasi Nasional Indonesia (KKNI), the Indonesian National Qualifications Framework, especially when adapted from industry materials. For example, there are certain industry-based learning materials taught at universities for undergraduate level, but these same materials are also taught to high school students. When this happens, the competencies of high school or vocational school graduates may end up being no different from those of undergraduate-level graduates, thus posing a serious problem.

The need for industry standardization in higher education

If Indonesia's digital economy is to thrive, industry players cannot afford to be passive observers of the talent gap — they must instead help close it. This is why Huawei Indonesia has made education integration a strategic priority.

Since 2020, Huawei Indonesia has prioritized the integration of industry standards into university curricula. Recognizing that bridging the competency gap begins with mapping industry-based skills to academic programs, Huawei has focused on aligning its training content with SKKNI. In Indonesia's education system, student competencies must correspond to the competency units required in the workplace, ensuring relevance to industry needs. Indonesian higher education institutions have also increasingly adopted Outcome-Based Education (OBE), ensuring that their curricula are directly designed to fulfill the competency units specified in SKKNI for ICT.

Figure 1: Reference book published

Figure 1: Reference book published

In 2023, Huawei Indonesia and Asosiasi Pendidikan Tinggi Informatika dan Komputer (APTIKOM, Association of Indonesian Computer and Informatics Colleges) collaborated to develop a reference book that aligns Huawei's industry syllabi with SKKNI. Three key subject areas were successfully mapped: Cloud Service, Artificial Intelligence, and Data Communications. APTIKOM engaged a team of experts during this process, including its curriculum specialists, representatives from its Professional Certification Institute, and subject matter experts for the relevant technologies. The resulting publication, titled Competency Mapping: Huawei ICT Academy and Indonesia's National Competency Standards for Data Science (SKKNI), was then finalized and released (see Figure 1). Today, some universities are already referring to this reference book and have embedded Huawei's AI technology into their curricula. The competency mapping is not only about finding compliance between industry standards and national standards, but also ensuring the competency unit in Huawei syllabi can be set at the right level. By knowing the level of KKNI on each competency unit related in syllabi, we can ensure that students learn appropriate knowledge. KKNI Levels 1–3 are appropriated to High School level, and KKNI levels 4–6 are appropriated to Undergraduate level in Higher Education.

How APTIKOM helps narrow Indonesia's education gap

1. Extensive national reach and representation

APTIKOM has played a pivotal role in reshaping the nation's ICT higher education landscape to meet industry demands and national goals. With over 4,000 higher education institutions, including 1,200 ICT related universities, Indonesia must ensure its graduates are not just numerous, but industry-ready. APTIKOM has very extensive coverage, with members spreading across 34 of Indonesia's 38 provinces, encompassing 756 out of a total of 2,345 study programs, and more than 20,000 individual members.

2. Standardization and quality assurance

The Ministry of Higher Education, Science, and Technology (formerly the Ministry of Education, Culture, Research, and Technology) has appointed APTIKOM to assess university accreditation through "Lembaga Akreditasi Mandiri (LAM) Infokom", an independent Accreditation Body under APTIKOM. Determining compliance with industry standards is one of the important assessment criteria. With this large network, APTIKOM is committed to enhancing the quality of higher education in the field of information and computer technology. APTIKOM's vision is to increase the accreditation value of its member study programs, so that they are at least at the "Very Good (B)" level. This will act as a strategic step to ensure that graduates produced are high quality and relevant to industry needs.

A structured collaboration: Aligning industry and national standards for digital talent development

In 2023, APTIKOM initiated a strategic partnership with Huawei, becoming a Huawei ICT Academy Support Center (IASC). The core objective of this collaboration is to bridge gaps between global industry standards and Indonesia's national qualifications framework, thereby enhancing the quality and competitiveness of Indonesian graduates in the digital economy.

1. Phase 1: Foundational alignment – Mapping competencies

The first and most critical step was to formally align Huawei's industry curriculum with SKKNI and the KKNI Framework.

The overall implementation process is as follows:

  • Curriculum analysis: APTIKOM experts conducted a detailed analysis to map Huawei's modules and lab guides against the competency units in relevant SKKNI occupational schemes.
  • Conformity matrix: The output was a conformity matrix detailing the alignment (see Figure 2).
  • Development of a reference book: Based on the matrix, a comprehensive reference book was produced. This book serves as the foundational guide for educational institutions to develop curricula that are simultaneously compliant with SKKNI, Outcome-Based Education (OBE), and industry requirements.
Figure 2: Compliance between Huawei industry standardization and national standardization

Figure 2: Compliance between Huawei industry standardization and national standardization

This mapping ensures that curricula based on Huawei standards are inherently aligned with national standards, making the model applicable to both higher education (universities and polytechnics) and vocational high schools.

2. Phase 2: Implementation and capacity building

With the foundational alignment established, APTIKOM and Huawei launched targeted programs to implement these standards.

Enhancing educator capability: The "1000 Teachers Cultivation Program"

  • Launch: Officially inaugurated at the Huawei Teacher Summit in August 2024 at Universitas Airlangga, Surabaya (see Figure 3).
  • Objective: To equip educators with deep knowledge of Huawei's industry standardization at university level and through with vocational education.
Figure 3: Launch of the '1000 Teachers Cultivation Program'

Figure 3: Launch of the "1000 Teachers Cultivation Program"

Outcome and reach:

  • The program far exceeded its target, attracting over 2,500 registrations. It successfully engaged more than 1,500 active participants from more than 300 universities and more than 300 vocational high schools across 12 provinces (see Figure 4 and Figure 5).
  • This resulted in two successfully onboarded dedicated Special IASCs for vocational high schools and senior high schools. The initiative led to the establishment of over 90 new Huawei ICT Academies and engaged more than 200 associated teachers, collectively supporting the development of more than 7,500 students in Indonesia.
Figure 4: Coverage of the '1000 Teachers Cultivation Program' in 12 provinces

Figure 4: Coverage of the "1000 Teachers Cultivation Program" in 12 provinces

Figure 5: Breakdown of participation by province

Figure 5: Breakdown of participation by province

Integrating standards into curriculum

To ensure the standards were truly put into practice, APTIKOM and Huawei held a series of workshops and Focus Group Discussions (FGDs) in West Java and Denpasar, Bali.

These sessions guided the curriculum integration of over 40 institutions. As a direct result, 12 universities and polytechnics have now embedded Huawei industry standards into their curricula for Artificial Intelligence, Data Communications, and Cloud technologies. Universities that have already implemented Huawei industry standards are:

  • Universitas Islam Negeri Syarif Hidayatullah Jakarta
  • Universitas Putra Indonesia YPTK Padang
  • Universitas Pignatelli Triputra Surakarta
  • Universitas Negeri Lampung
  • STMIK Pesat Nabire Papua
  • Politeknik Manufaktur Negeri Bangka Belitung
  • Universitas Salakanagara Tangerang
  • Politeknik Negeri Madiun
  • Universitas Utpadaka Swastika Tangerang
  • Universitas Kristen Palangkaraya Central Kalimantan
  • Universitas Kebangsaan Republik Indonesia Bandung
  • Universitas Dharmas West Sumatera.

3. Phase 3: Certification and recognition – "One Exam, Two Certificates"

Leveraging the proven equivalence between Huawei and SKKNI standards, Huawei and APTIKOM released the "One Exam, Two Certificates" program (see Figure 6).

Figure 6: 'One Exam, Two Certificates' concept

Figure 6: "One Exam, Two Certificates" concept

A single examination now leads to two certifications:

1. Huawei Certification (HCIA, HCIP, HCIE): Validating global industry competency.

2. National BNSP Certification: Issued by a Professional Certification Agency (LSP – Lembaga Sertifikasi Profesi), under the Indonesian Professional Certification Authority (BNSP – Badan Nasional Sertifikasi Profesi), recognizing the same competencies under the national framework without requiring a separate exam. This program will involve LSP that already has Occupation Schemes (Skema Okupasi) in Artificial Intelligence, Datacom, and Cloud. The LSP can issue National Competency Certification without the need for an exam.

As a result, in 2025, 87 participants received 2 certifications: HCIA and BNSP, enhancing their professional credentials.

Conclusion and path forward

Through this structured, phased approach, the APTIKOM-Huawei collaboration has created a powerful ecosystem for digital talent development in Indonesia. These initiatives ensure that teachers are equipped, curricula are modernized, and graduates possess validated, dual-certified skills that are recognized both nationally and internationally.

This partnership is committed to continuous growth. Future joint targets include launching innovation research grants to leverage Huawei's tools for solving real-world problems, further strengthening Indonesia's position in the global digital landscape.

Learning specific technology is good, but learning across multiple disciplines is better. The research grants to be given by Huawei and APTIKOM to selected universities will come in the form of a capstone project or project-based learning. Huawei and APTIKOM will work together with related ministries to solve problems in communities. In 2026, we plan to develop the "Huawei Community Living Lab" program. This program will at least involve the following elements:

  • Cross-sectoral collaboration between education-industry-government-community
  • Big impacts by using integrated and innovative solutions to solve issues in communities through appropriate technology adoption by universities and supported by Huawei technology
  • Use as a capstone project for students in universities
  • Business opportunities for startup business

This partnership sends a clear message. Bridging Indonesia's talent gap requires more than isolated training programs — it demands a fundamental realignment of how universities teach, how educators are supported, and how students learn. With the upcoming Huawei Community Living Lab, Huawei and APTIKOM are moving beyond curriculum mapping to create real-world, problem-solving ecosystems. For Indonesia to achieve its Golden Indonesia 2045 vision, structured collaboration between industry, academia, and government is not optional — it is essential.

Global Empowerment:
Government-Industry Collaboration for AI Ecosystems

Liu Tongxuan

Liu Tongxuan

Head of xLLM (Open-Source LLM Inference Engine)

From Engine to Ecosystem: xLLM and Huawei Unlock Homegrown AI Talent

xLLM, a homegrown LLM inference engine, is teaming up with Huawei ICT Academy to train talent and bridge the gap between homegrown chips and real-world AI applications.

Large language model (LLM) inference is moving fast, but most of the engines and frameworks powering it, such as SGLang and vLLM, come from outside China. However, a young team in China is choosing a different path, one they call "difficult but right". They are building a homegrown inference engine for LLMs from the ground up.

This decision to venture into technical "uncharted territory" and build a dedicated engine for homegrown chips was driven by the xLLM team's deep understanding of where the industry is heading. As LLMs evolve from being merely capable to being useable at scale, inference latency and throughput become bottlenecks for real-world deployment. Rising compute costs, combined with the growing availability of local AI chips, have turned the question of how to maximize compute efficiency from a routine optimization problem into a make-or-break for commercial viability. What xLLM set out to do was build a genuinely high-performance, open-source inference engine for homegrown chips.

xLLM was the first to deeply adapt and optimize its engine for a domestic AI chip, starting with Huawei's Ascend platform. Its technology now covers major AI scenarios including large language models, multimodal understanding, text-to-image generation, and generative recommendation. It has achieved breakthroughs in throughput and latency on key models.

Technical breakthroughs, however, are only the first step. The xLLM team soon encountered a bigger challenge: No matter how powerful a homegrown inference engine is, it cannot truly take root in the industry without having a sufficient number of developers who can use it well. This kind of switch would be costly for developers and enterprises, because the local chip ecosystem remains fragmented, and most developers are still accustomed to established frameworks from outside China. This is not just a technical issue; it is a talent development challenge.

It was against this backdrop that the xLLM team began working with Huawei's Talent Development team in China. They turned to this team because it runs over 800 Huawei ICT Academies in China — university-industry collaboration programs that bring the latest ICT technologies and knowledge to students and faculty. To date, these Academies have partnered with more than 3,500 universities in over 110 countries and regions, collectively training over 1.8 million students. For more than a decade, the Huawei ICT Academy program has been working carefully to integrate industry and education. In recent years, it has brought leading computer science educators into the loop, embedding Ascend and CANN technologies into computer science curricula.

It was at this intersection of academia and industry that the two parties found their interests closely aligned. xLLM needed more university developers to gain hands-on experience with Ascend-based LLM inference technologies, while Huawei was looking to cultivate homegrown AI computing talent through its full-stack Ascend ecosystem. They quickly reached an agreement: to use the Huawei ICT Academy and Huawei ICT Competition as a bridge. They would integrate xLLM's inference engine technology with Huawei's global talent development network, and jointly explore a new path for homegrown AI talent cultivation built around a tightly integrated model of "training, competition, and selection".

Figure 1: xLLM full-stack optimization with CANN

Figure 1: xLLM full-stack optimization with CANN

A path forward: Learning through competition, applying through learning

Step 1: Putting skills to the test

The Challenge Track of the 10th Huawei ICT Competition, held from late 2025 to early 2026, served as a stage for xLLM and Huawei's collaboration. This track focused on the integration of AI and high-performance computing. It required participating students to gain a solid understanding of Huawei's Ascend and Kunpeng hardware and software architectures, and to complete performance optimization tasks for HPC algorithms, AI models, and operators within a set time frame. This is the first competition track in China to combine homegrown supercomputing and AI computing platforms, with a specific focus on performance tuning and optimization.

The track was first launched at the 9th Huawei ICT Competition. By the 10th edition in 2025, 47 teams from 28 leading universities had joined. The competitors navigated demanding problem sets under tight timelines, with the teams from Zhejiang University, the University of Science and Technology of China, and Beijing University of Posts and Telecommunications securing First Prize with their strong system optimization and engineering skills. During the defense session, the winning students demonstrated deep expertise in system-level optimization on Ascend and Kunpeng platforms, winning acclaim from Huawei and xLLM experts. This model in which competition serves as a proving ground and practical application anchors talent in the industry, is building a path that moves homegrown AI talent from university campuses to industries.

Figure 2: xLLM and Ascend joint developer event

Figure 2: xLLM and Ascend joint developer event

Step 2: Identifying talent through competition

What sets top performers apart is their drive to keep improving. Just a week after the Challenge Track finals, the First-Prize team from Beijing University of Posts and Telecommunications took the initiative to organize an online retrospective and experience-sharing session, bringing together all the winning teams from the individual award categories.

The participating students also invited technical experts from xLLM and Huawei to join the online session. During these exchanges, even the second- and third-year undergraduates demonstrated a solid grasp of performance bottleneck resolution, optimization strategy design, and computer architecture, showing that their achievements were well deserved.

These discussions also helped the xLLM team identify several highly promising students with strong potential and a clear drive for excellence. The community now plans to bring them into joint teams or develop them as core contributors to the xLLM open-source project.

Step 3: Sustaining growth through bootcamps

Learning through competition and reinforcing through training is the approach the Huawei ICT Academy and Huawei ICT Competition have refined over years of identifying and nurturing outstanding talent.

In 2026, Huawei's Talent Development team in the China Region launched a summer developer program with the Huawei Computing Product Line ecosystem team and the xLLM team. The goal was to cultivate more developers who are well-versed in Ascend and CANN and who also have a strong interest in the xLLM open-source project. This would ensure a continued supply of talent.

Through this collaboration, the xLLM team and Huawei's Talent Development team have jointly introduced practical xLLM inference engine training to university bootcamps and short-term courses. Core xLLM developers serve as instructors, guiding students through live coding sessions on real domestic computing platforms. This approach allows students to experience the entire process, from understanding the underlying mechanisms to solving real problems. It deepens their practical engineering expertise in homegrown AI technologies.

Looking ahead: Bringing homegrown inference engines to more universities

Looking to the future, the xLLM team and Huawei's Talent Development team see even greater potential for ecosystem building.

On the competition front, as the 11th Huawei ICT Competition takes shape, xLLM will be more closely involved in designing the Challenge Track. The plan is to embed real-world industry challenges, such as inference engine optimization and operator migration, into the competition problems, so as to align them more closely with the practical needs of homegrown AI deployment.

On the ecosystem front, the two partners plan to bring xLLM to more universities through bootcamps, hackathons, and open-source contributions, which will spark interest among young developers in homegrown AI infrastructure. The xLLM community has already partnered with hardware vendors and leading universities such as Tsinghua University, Peking University, and the University of Science and Technology of China. Together, xLLM and Huawei are continuing to drive research and tackle performance, cost, and application bottlenecks in LLM deployment.

When more university students master this technology, more industry settings will benefit from homegrown AI inference.

Conclusion: The power of conviction

The xLLM team believes that this partnership with Huawei is not just a technical collaboration, but a long-term strategy for developing homegrown AI talent.

From inference engine optimization to developer ecosystem building, and from ICT Academy coursework to hands-on competition experience, the two partners are weaving a multidimensional talent development network. The goal is to enable more university students to learn, practice, and grow on homegrown computing platforms, and ultimately become the backbone of the local AI ecosystem.

Homegrown AI is rooted in technology, but its future lies in talent. At the heart of the partnership between xLLM and Huawei ICT Academy is a shared mission to give every young developer the confidence to tackle computing challenges with homegrown technology and help build an ecosystem they can truly call their own. The road is difficult, but it is the right one — and it is worth it.

Global Empowerment:
Government-Industry Collaboration for AI Ecosystems

Huang Xiaoyan

Huang Xiaoyan

Head of Shixizhi AI Learning Platform, Huawei

Huawei Shixizhi 2.0 AI Learning Platform: Reskilling Talent for the AI-Native Era

ICT training must move beyond transferring knowledge to building real capabilities. Shixizhi 2.0 redefines learning with AI-driven courses, coaching, and assessment.

For decades, ICT talent development has rested on a basic assumption: Technology was relatively stable, and a single round of systematic learning could sustain a career. That assumption no longer holds. AI-native is becoming the new industry paradigm as large models evolve from basic tools into the very foundation of productivity. The shelf life of skills is now measured in months, yet traditional training cycles are still counted in years. This paradigm shift, one that is fundamentally about people, has already begun.

A paradigm shift: AI-native is rewriting the ICT job landscape

The shift is already visible in the job market. Traditional, standardized roles, such as basic network configuration, routine integration, and repetitive testing and maintenance, are gradually shrinking. At the same time, new roles are emerging rapidly: AI agent orchestration, retrieval-augmented generation (RAG) engineering, large language model (LLM) operations, and AI scenario deployment. The World Economic Forum's The Future of Jobs Report 2025 projects that by 2030, 39% of workers' existing skill sets will be disrupted, and 59% of workers will need reskilling. China's Ministry of Human Resources and Social Security has added roles like "Generative AI System Application Specialist" to its new occupation directory. The industry's talent needs are shifting from technical execution to value creation. What enterprises need is no longer engineers who can follow a plan, but multi-skilled talent who can use AI to generate business value.

Roles are evolving, and skills are depreciating faster than ever. The industry consensus is that the half-life of technical skills has shrunk to under five years, and for LLM-related skills, the renewal cycle is measured in months. Yet traditional training models are struggling with three major shortcomings. First, curricula cannot keep pace: Textbooks take years to develop, and by the time students graduate, the knowledge they have acquired is often already outdated. Second, hands-on practice is disconnected from the real world: Learners study AI through slides and learn about agent orchestration without ever actually orchestrating one. Third, assessment is too narrow: A written exam cannot measure practical abilities like human-AI collaborative development or deployment in complex scenarios. All of this is resulting in a growing talent gap between training supply and industry demand.

Breaking the "impossible trilemma": From static programs to dynamic closed-loop learning

Education has long faced an impossible trilemma: the difficulty of achieving scale, quality, and personalization all at once. One-on-one tutoring offers quality and personalization, but cannot scale. Traditional MOOCs achieve scale, but at the cost of personalization. Training without data is merely rote repetition of experience, and training without a closed loop is only a one-off effort.

The Shixizhi 2.0 AI Learning Platform is Huawei's digital and intelligent learning platform, and it is driven by both AI and data. The platform features a learning agent and an enterprise AI knowledge base that enable personalized, interactive, and granular learning experiences and professional exam services for employees, partners, ecosystem players, customers, and the public. It also integrates high-quality learning content into workflows to support the intelligent upgrades of business and the growth of both organizations and talent. The main purpose of Shixizhi 2.0 is to break this trilemma using the intelligent, data-driven, and dynamic capabilities of AI-powered learning platforms.

The platform is built on four core capabilities. AI-driven learning analytics track each learner's knowledge status and behavior, replacing experience-based course planning. A job competency map breaks down industry needs into measurable skill units, making proficiency quantifiable. Dynamic course updates keep content aligned with emerging technologies, preventing textbooks from becoming outdated before they are even used. Context-specific intelligent training brings real engineering environments into the classroom, allowing learners to learn by doing.

These four interconnected capabilities form a closed-loop system that links industry needs, skill breakdown, targeted training, and competency assessment (see Figure 1). Assessment results feed back into learning analytics, and industry changes update the competency map in real time. Talent development thus evolves from a static one-off effort into a dynamic continuously operating, self-improving system.

Figure 1: A closed-loop system that connects industry needs, skill breakdown, targeted training, and competency assessment

Figure 1: A closed-loop system that connects industry needs, skill breakdown, targeted training, and competency assessment

Three transformations redefining AI education: From MOOC to smart courses

Shixizhi 2.0 addresses the three fundamental questions of what to teach, how to teach, and how to demonstrate learning. It does this through three transformations (see Figure 2), distilled into a practical framework: one learner, one competency map; one course, one AI agent; one role, one capability profile.

Figure 2: Shixizhi 2.0's three transformations

Figure 2: Shixizhi 2.0's three transformations

Redesigning the curriculum: What to teach. The platform uses industry job data to keep AI-native courses up to date, phasing out outdated content and focusing on emerging core skills such as AI tool application, human-AI collaborative development, intelligent system operations, and AI ethics and compliance. "One learner, one competency map" means that each learner has a personal skill map that stays aligned with their target role in real time. What they learn is determined by both industry demand and their own skill gaps, ensuring that what they study is what they actually need.

Redesigning the learning experience: How to teach. Learning shifts from passive to active, and content formats evolve from traditional MOOCs to smart courses. "One course, one AI agent" means that each course is powered by multiple AI agents working in concert. The multi-agent interactive classroom integrates AI content creation, AI instructors, AI teaching assistants, AI-led discussions, and AI Q&A, while AI coaches provide round-the-clock tutoring support. For fragmented scenarios such as business travel, commuting, and on-site client visits, courses are broken down into multimodal knowledge units — audio, text, infographics, knowledge flash cards — delivered in lightweight, short video formats that can be consumed anytime, anywhere. This shifts learning from person-to-person to network-based dissemination. Powered by AI algorithms, the platform builds foundational knowledge for beginners, maps the shortest transition path for career-switchers, and pushes cutting-edge topics for senior professionals, enabling personalized, tiered learning for every user.

Redesigning assessment: How to prove learning. The platform provides a process-oriented, context-specific, outcome-driven AI capability assessment model. AI-generated questions, AI-led defenses, AI proctoring, and specific hands-on evaluations are offered throughout the learning journey. Process data tracks learning trajectories, and project outcomes replace traditional written exams as demonstrations of competence. "One role, one capability profile" means that assessment results are captured in a dynamic profile that stays aligned with job requirements. Managers can see the distribution of team capabilities at a glance, and individuals have a clear view of their growth trajectory. This means recruitment and promotion have a more reliable basis than with certificates alone.

Value in action: From isolated efficiency gains to an industry talent backbone

Shixizhi 2.0 embeds AI capabilities across the entire learning journey by thoroughly integrating with business scenarios. It delivers tangible results across three fronts: customer transformation, partner enablement, and the university ecosystem.

Huawei's training and certification for carrier customers: An AI core talent matrix. The platform provides comprehensive AI role-based courses and Huawei certifications such as HCIA-AI across four talent domains: computing power, algorithms, data, and AI applications. With the Shixizhi 2.0 Learning Planning Assistant, capability assessments accurately identify skill gaps and recommend personalized learning paths, shortening job planning from two days to just one hour.

Huawei's GTS O3 Community enablement for partner service engineers: End-to-end workflow and bite-sized learning modules. In training and enablement for partners, the O3 Community offers online courses (both advanced and context-based) and regularly runs special programs such as skills competitions and delivery workshops. However, traditional self-paced online learning lacks a complete view of the knowledge system, offers little integration of theory and practice, and makes it hard to stay engaged, due to ineffective formats like long videos. Partners want to learn in short, flexible bursts.

To address this, the community has used the Shixizhi 2.0 Super AI Mentor (see Figure 3) to enable an end-to-end learning process: assess, learn, practice, test, evaluate, write, distill, recommend, and Q&A. At the front end, learners can set goals, get resource recommendations, and produce course content in one place. In the middle, an AI mentor provides one-on-one guidance and context-specific practice through tools like AI drills, memory cards, knowledge graphs, AI Q&A, and AI summaries, enabling short, intensive learning anytime, anywhere. At the back end, online defenses and capability assessments close the loop. This model has more than doubled learning efficiency for Ascend AI courses.

Figure 3: Shixizhi 2.0, an AI- and data-driven digital knowledge learning platform

Figure 3: Shixizhi 2.0, an AI- and data-driven digital knowledge learning platform

The O3 Community integrates online courses, interactive Q&A, community activities, and online labs to help partner engineers around the world solve challenges they encounter in their work.

Huawei ICT Competition for the university ecosystem: Large-scale global talent selection. The Huawei ICT Competition has been recognized as a key partner flagship project of UNESCO's Global Skills Academy. Shixizhi 2.0 provides professional exam services for the competition. It can support over 100,000 concurrent test-takers, with assessments that include HarmonyOS ArkTS and Cangjie programming. The competition enables professional selection for university students across more than 100 countries, helping to advance both theoretical knowledge and practical skills in cloud computing, networking, AI, and software technologies.

To date, Shixizhi has served more than 200 tenants, including Huawei Talent, Huawei Certification, Huawei ICT Academy, Huawei Career, O3 Community, Knowledge Network, MA Academy, and the Brave New World program for new employees. It has enabled efficient, self-directed learning for over 4.35 million learners. The first 19 tenants have been upgraded to AI Academies, and 42,000 courses have been upgraded to smart courses. Feedback from the field reflects the value of these courses in the real world: "Course summaries and abstracts are precisely distilled"; "AI Q&A can accurately pinpoint relevant knowledge points, deepening understanding"; "The AI certification assistant has significantly improved efficiency."

The deeper value, however, lies in systematically addressing three persistent challenges in the ICT industry: skills gaps, difficult transitions, and supply-demand mismatches. For individuals, learning is no longer a months-long career interruption but a continual upgrade process embedded in the workflow, with clear pathways for transition and a roadmap for advancement. For enterprises, existing technical talent can be rapidly reskilled, preventing the dual losses of unfilled new roles and underutilized experienced employees, while significantly shortening the return cycle on talent investment. For the industry as a whole, the closed-loop system continually delivers multi-skilled ICT talent who understand both the technical foundations and business scenarios. This strengthens the industry's talent backbone in the AI-native era.

The ceiling for AI is determined by computing power, but the boundaries of the industry are determined by talent. When AI serves as both the subject and the engine of learning, the ideal of education — scalable, high-quality, and personalized — is becoming a reality. Huawei Shixizhi 2.0 invites partners across the industry to join us in helping every ICT professional keep pace with rapidly evolving technology, as we write the next chapter of AI-powered education together.

Global Empowerment:
Government-Industry Collaboration for AI Ecosystems

Zheng Yanyan

Zheng Yanyan

HR Director, Jiangxi Digital Industry Group

Jiangxi's ICT Talent Magnet: A Government-Industry-Academia Collaboration

Jiangxi Digital Industry Group and Huawei hosted a campus job fair, bringing together government, industry, and academia to connect 500+ graduates with local digital jobs.

On November 29, 2025, the Nanchang Hangkong University gymnasium was buzzing, a sharp contrast to the early winter cold outside. As a participant and organizer of the Digital Jiangxi, Smart Future job fair (see Figure 1), I stood on the upper deck and looked out over the hall: 90 company booths laid out in neat blue-and-white rows, and over 4,000 students from 38 universities across the province moving through the aisles, resumes in hand, eyes fixed on what lay ahead. I wasn't just watching a job fair — I was watching digital technology meet local industry in real time. Watching the steady stream of students at the consultation booths, it struck me that we were doing more than connecting companies with graduates — we were laying the groundwork for Jiangxi's digital economy.

Figure 1: Digital Jiangxi, Smart Future — Job fair for 2026 graduates, hosted by Jiangxi Digital Industry Group

Figure 1: Digital Jiangxi, Smart Future — Job fair for 2026 graduates, hosted by Jiangxi Digital Industry Group

A booming industry, a talent drain dilemma

A provincial leader in the digital sector, Jiangxi Digital Industry Group has always regarded digital talent as its most valuable asset. We know that the depth of talent determines the height of industrial development. In the midst of global digital transformation, ICT talent is no longer just a production factor; it has become a key indicator of a region's industrial vitality.

Jiangxi is pushing ahead with its No. 1 Development Project to strengthen the digital economy, with high-tech investment growing 7.3% year-on-year in 2025. This rapid expansion has created a huge talent gap, even though Jiangxi is home to strong talent pipelines from universities like Nanchang Hangkong University, Jiangxi University of Science and Technology, and Jiangxi University of Finance and Economics. For years, many top ICT graduates have chosen to leave, not for lack of ambition, but because the local digital industry remained largely invisible to them. Graduates flock to the four first-tier cities of Beijing, Shanghai, Guangzhou, and Shenzhen.

This brain drain has long been an issue for local businesses. Surveys show that companies often feel they cannot find job-ready talent, while graduates complain about the lack of quality local jobs. At the heart of this disconnect is the absence of a gravitational pull strong enough to rival that of the first-tier cities. We realized that traditional recruitment marketing — flyers and job postings — was no longer enough. What we needed was a government-industry-academia collaboration that could turn a recruitment drive into a fundamental reshaping of the region's talent ecosystem.

The job fair is not just a meeting of companies and talent, but a crucial step in connecting the talent chain, the innovation chain, and the industrial chain.

Leadership alignment: A three-way pact for talent

This job fair was a strategic effort jointly driven by government, platform, and ecosystem leaders. It received guidance from provincial authorities including the Jiangxi Provincial Government Service Administration Office, the Education Department, the Department of Human Resources and Social Security, the State-owned Assets Supervision and Administration Commission of Jiangxi Province, and the Nanchang Municipal People's Government.

The event sent a clear and powerful signal: The provincial government is serious about growing the digital economy, and its commitment to digital talent is backed by action. Vice Governor Sun Hongshan attended the event in person (see Figure 2), alongside Director Guo Jinliang of the Provincial Employment Center and other key officials. This high-level presence not only lent strong credibility to the event, but ensured that all parties were aligned around a shared goal: supporting the province's digital industry development.

Figure 2: Vice Governor Sun Hongshan of Jiangxi province at the event

Figure 2: Vice Governor Sun Hongshan of Jiangxi province at the event

Jiangxi Digital Industry Group played a central role in coordinating the event. We assessed the real needs of the Group and its upstream and downstream partners to ensure that participating companies were credible and the positions they offered were substantive. We also had 18 of our core subsidiaries appear together at the job fair, leading by example. These subsidiaries span strategic areas such as cloud computing, big data, smart cities, and digital security, all key priorities for Jiangxi's development.

We also greatly value our long-standing partnership with Huawei. Over the years, Huawei has played a key role in major projects across Jiangxi, including 5G networks, gigabit optical networks, e-government clouds, and AI data centers. The mutual trust and understanding built through years of collaboration made it a natural strategic choice for us to join forces in talent development.

Huawei drew on its influence as a global leader in ICT infrastructure and smart devices to mobilize its partners and digital transformation service providers across Jiangxi, while also encouraging students from Huawei ICT Academies to participate. At the same time, Huawei brought its cutting-edge technical requirements and industry standards to the event, conferring professional credibility to the job fair to make it more compelling for top graduates.

Matching talent with opportunity and closing the last-mile gap

With strong top-down backing, we secured commitments from 90 companies, offering a total of 1,157 job openings. All of these were precisely targeted positions in major fields such as computer science, electronics, and automation. These roles were of high importance in the digital economy, with the companies offering them spanning key digital sectors including big data, AI, and software development. Some companies sought to fill up to 150 positions each, with top annual salaries reaching CNY350,000. Behind these numbers was a clear vote of confidence from businesses on the future of Jiangxi's digital industry.

The turnout of over 4,000 graduates (see Figure 3) spoke for itself: When the jobs are right, the policies attractive, and the communication clear, the gravitational pull to keep talent in Jiangxi has full force.

Figure 3: Nearly 100 companies and over 4,000 graduates attended the job fair

Figure 3: Nearly 100 companies and over 4,000 graduates attended the job fair

On the service side, we used the Jiangxi University Graduate Employment Service Platform and coordinated with the 5+2 Employment Hub information booths set up at the event by the Provincial Department of Human Resources and Social Security. This allowed graduates to learn about Jiangxi's relocation allowances, talent rental housing policies, and social security procedures immediately after submitting their resumes, all at a nearby consultation desk. This one-stop service, covering everything from job matching to policy implementation, significantly reduced decision-making friction for graduates and increased the overall efficiency of the event.

We also explored a deeper integration of online and offline channels. Offline, we created a space for face-to-face interaction to give both sides a better assessment of fit. Online, we built a platform that maintains connections beyond the event, using Jiangxi Talent Network, university career portals, and official WeChat accounts to share job information and event details in advance. With a model that combined online outreach before the event, on-site matching during the event, and continued follow-up after the event, we extended the job fair's reach well beyond the venue itself, enabling smoother information flow and more precise matching.

In the end, over 500 preliminary job matches were made. These are not just numbers, but seeds planted in the soil of Jiangxi's digital economy.

Beyond hiring: Building a self-sustaining ICT talent pipeline

This event marked a concrete step in the deepening strategic collaboration between Huawei and Jiangxi province on talent development. The job fair was more than just a one-off event. It was a major milestone in extending our partnership from project delivery to joint talent cultivation. Through this initiative, our coordination with Huawei evolved from working side by side to moving in lockstep. Strategically, we embraced the shared conviction that digital talent must come first, treating talent reserves as the vanguard of industrial growth. On the ecosystem front, we activated the multiplier effect of chain-driven talent aggregation, using Huawei's ecosystem to bring clusters of companies and their talent needs together.

As the head of the Jiangxi Provincial Government Service Administration Office said on site, the campus job fair for the digital industry is not just a meeting of companies and talent, but a crucial step in connecting the talent chain, the innovation chain, and the industry chain.

Over the past few years, Huawei has been a key player in Jiangxi's major digital infrastructure projects. By aligning Huawei's technological strengths and ecosystem resources with Jiangxi's industrial landscape and talent pool, we have come to see clearly that every step forward in business growth depends on a solid foundation of professional talent.

This event also drove home a broader lesson: We need to move beyond running job fairs and build a self-sustaining ICT talent pipeline. In this pipeline, industry skill requirements must be translated upstream into educational standards. At the event, we observed that companies showed a strong preference for graduates familiar with Huawei's certification system and emerging technologies. This points to a clear path forward for industry-education integration: embedding Huawei's established technical standards and certifications, such as Huawei Certified ICT Associate (HCIA), Huawei Certified ICT Professional (HCIP), and Huawei Certified ICT Expert (HCIE), into the curricula of Jiangxi's universities. By integrating industry standards early in the education process, this approach allows students to align their education with industry needs while they are still earning their degrees, enabling a shift from securing any job to securing the right one.

Looking ahead, Jiangxi Digital Industry Group will continue to work with strategic partners like Huawei to deepen government-industry-academia collaboration and further develop the digital talent development system. When top-tier digital talent, leading technology platforms, and a thriving local industry converge in Jiangxi, they will spark the kind of innovation that lights the way forward. Together, we will write a new chapter of quality digital economy growth for the province.

03.
Industry-Education Collaboration:
AI Talent Cultivation Through Partnership

Industry-Education Collaboration:
AI Talent Cultivation Through Partnership

Feng Xinyu

Feng Xinyu

Professor at Nanjing University, Huawei Chief Expert for Programming Languages, and Chief Architect of Cangjie

Wang Xuezhi

Wang Xuezhi

Director of Cangjie Ecosystem and Industry Development, Huawei

Cangjie Talent Ecosystem: Industry-Education Synergy Through Open Source

The Cangjie talent ecosystem is built through a three-tier pipeline, with industry-education collaboration, open source, and certification, to close the loop from campus to industry.

In 2024, Huawei officially launched the Cangjie programming language. Designed for intelligent applications across different devices and scenarios, Cangjie was built from the ground up. It features strong performance, strong security, cross-platform capabilities, and native AI readiness. In 2025, it was positioned as the official programming language for HarmonyOS. As an application-layer language that works seamlessly across the HarmonyOS ecosystem, Cangjie plays a key role in growing the ecosystem and driving real-world innovation across industries.

Technology maturity, however, is only the beginning of ecosystem prosperity. A programming language's vitality comes not just from its syntax, but from the depth of its ecosystem — how many developers are using it, how many universities are teaching it, and how many businesses are building on it. By the end of 2025, over 450 HarmonyOS apps developed with Cangjie had been published on the app marketplace, with 15 major applications including JD.com, Meituan, DingTalk, and WeChat Work. As HarmonyOS apps continue to gain traction and the Cangjie open-source community grows, it has become an urgent priority to develop a talent supply system that can keep pace.

Building the Cangjie talent ecosystem to drive a virtuous industry cycle

Building the Cangjie talent ecosystem is not just about talent supply. It is about creating a virtuous cycle that links language development, talent supply, ecosystem growth, and industry enablement.

Connecting education with industry: The Cangjie ecosystem offers universities a gateway to the forefront of industry. By embedding Cangjie and its related technologies into curricula, a "theory-practice-employment" training pipeline can be built from the ground up.

Enabling open-source collaboration and innovation: Open-source communities are the soil in which the Cangjie ecosystem grows. They give students a platform to participate in real projects through shared contribution. Through a "classroom-community-project" model, students gain a deeper understanding of collaborative development, code review, and standard-setting, which helps raise the overall open-source skill level of China's software talent.

Accelerating industry adoption: As HarmonyOS apps and cloud-side microservices scale up, developers with Cangjie expertise will become key drivers of digital transformation across industries.

A sustainable Cangjie talent ecosystem must be built on four pillars: education as the foundation, industry as the enabler, open source as the connector, and certification as the guarantee. Together, they form a multi-layered, end-to-end system for talent development and ecosystem co-creation. This system aligns talent supply with industry demand, allowing Cangjie to take root and play a lasting role in the development of foundational software in China.

Building a full-tier talent pipeline: Research, application, and skills

As an application-layer language for diverse scenarios, Cangjie spans terminal applications, server-side development, and digitalization across key industries. This variety of use cases results in diverse talent needs, which will require a multi-tiered education approach. Cangjie's ecosystem addresses these needs using three educational tracks, each with its own role: Research universities advance foundational innovation, application-oriented universities bridge theory and practice, and vocational schools build hands-on, job-ready skills. Together, these institutions form a full-tier talent pipeline covering research, application, and practice.

Research universities focus on theory and core technology. Many institutions have set up joint labs with Huawei's Cangjie team to tackle challenges in language design, compiler optimization, and language intelligence, while also cultivating research talent to support continued technology iteration. Teaching emphasizes the integration of theory and practice. Cangjie is integrated into courses on programming language principles and compiler design, and advanced modules, quality textbooks, and MOOC resources are provided to develop language researchers.

Application-oriented universities strengthen practice and industry alignment. Working closely with Huawei's Cangjie team, these universities bring real development projects and technical standards into the classroom and set up specialized training platforms in fields like smart healthcare and intelligent IoT. Teaching follows a "job-course-competition" integration model, with customized courses and hands-on training designed to produce graduates who can adapt quickly to industry needs.

Vocational schools focus on job-ready skills. Centering on specific roles in the Cangjie ecosystem, such as software operations and maintenance, and on-site incremental development, these schools work with Huawei's Cangjie team to build skills-driven training models. Core courses emphasize hands-on Cangjie practice and development toolchains, reinforced by small innovative projects. Teaching follows a "skill-job integration" approach, using targeted programs like "craftsman classes" and "order-based classes" aligned with job standards. This cultivates frontline developers with solid practical abilities for the Cangjie ecosystem.

The value of building the Cangjie talent ecosystem goes far beyond talent delivery. It is about creating a virtuous cycle where language development, talent supply, ecosystem growth, and industry enablement reinforce one another.

Closing the talent loop: Teaching, learning, collaboration, and evaluation

Industry-education collaboration is key to bridging the gap between talent supply and demand. Universities are embracing a model where the industry leads curriculum development and talent cultivation and universities play a supporting role. Programs like the Emerging Engineering Education (3E) Industry-Academia Cooperation Project are enabling a closed-loop system that integrates joint curriculum development, joint hands-on training, and shared employment support. This connects talent development directly to career outcomes.

For university-industry collaboration and resource sharing, Huawei uses the Huawei ICT Academy to bring together universities and ecosystem partners in integrating Cangjie into computer science curricula.

Through the development of textbooks and the release of standardized online courses, teaching content stays aligned with industry technology. For example, Huawei launched a systematic Cangjie MOOC series and modular lab case sets on the Huawei Talent platform, attracting over 3,600 learners in just two months. Meanwhile, through two rounds of the Ministry of Education's University-Industry Collaborative Education Program, universities and industry partners have offered 24 Cangjie-based courses and trained over 1,500 student developers. With the rollout of the second phase of the Domestic Software in Education Program, the number of Cangjie-related courses has been expanded to over 50.

During this process, five teaching teams, including those from Xidian University, Beijing Normal University, and Shandong University, received gold awards for "Outstanding Teaching Teams", while three teams, including Jiangxi Polytechnic Institute, received silver awards for "Outstanding Curriculum Reform".

In addition, universities and industry partners have jointly launched innovation boot camps and on-campus training bases, featuring hands-on Cangjie modules, device adaptation exercises, and real-world project tasks. To strengthen faculty capabilities, institutions have invited Huawei Cangjie technical experts and senior developers to teach on campus and lead specialized workshops on teaching methods, project case studies, and toolchain applications (see Figure 1). In 2025 alone, four Cangjie instructor training camps were held, covering 176 institutions and training 317 faculty members.

Figure 1: Cangjie instructor training and campus outreach activities

Figure 1: Cangjie instructor training and campus outreach activities

In open-source collaboration and community innovation, Cangjie has taken a major step forward. Building on the ongoing Cangjie-TPC (Third-Party Components) initiative, it has now open-sourced its compiler, runtime, and standard library, significantly lowering the barrier for developer participation.

As the main driving force of the Cangjie talent ecosystem, the open-source community brings together developers from around the world. It fosters resource sharing, collaborative innovation, and alignment of incentives, driving mutual growth in language capabilities and use cases. Through platforms like AtomGit, the community provides official documentation, tutorials, sample code, and online interactive environments to encourage original contributions and enable shared success.

By the end of 2025, the Cangjie community had accumulated 304 public projects, covering over 20 technical areas including network communications, AI agents, database drivers, and utility tools. The number of core contributors had surpassed 4,000. These included developers from enterprises such as JD.com and the Industrial and Commercial Bank of China (ICBC), as well as faculty and students from universities across China. The developers help form an open collaboration matrix that cuts across sectors and industries.

For certification and career development, Huawei has established a three-tier Cangjie certification system — Engineer, Senior Engineer, and Expert. This system provides standardized training and quantitative talent assessment. In December 2025, the HCIA-Cangjie Developer V1.0 certification was officially launched, covering knowledge areas such as syntax and concurrent programming. Looking ahead, the Cangjie certification system will continue to expand its advanced tiers, develop a certified talent pool, and offer job referral services, ensuring that talent supply is precisely aligned with industry needs.

Universities as models of talent ecosystem innovation

In building the Cangjie talent ecosystem, universities have developed distinctive models of industry-education integration and open-source collaboration based on their institutional strengths.

Research leadership driving core technology breakthroughs: Professor Hu Zhenjiang's team at Peking University has been conducting long-term research since 2019 on topics such as bidirectional real-time transformation of eDSL and automatic error message enhancement. This work has not only cultivated high-end research talent, but provided theoretical and technical support for Cangjie's language design.

At Nanjing University, the PASCAL research group collaborated with Huawei on the Tai-e-Cangjie program analysis framework, providing toolchain support for the language. Professor Feng Xinyu, Chief Architect of Cangjie, teaches graduate-level courses on Cangjie language design and implementation. He also organizes technology forums and fosters a closed-loop culture of "learning Cangjie, using Cangjie, building Cangjie", an approach that is cultivating the scarce talent needed for language design and implementation.

Aligning university-industry collaboration with industry needs: Jianghan University has partnered with CSDN through the Smart Healthcare Open-Source Alliance to establish the Kaixin Lab. Using Huawei resources and real-world enterprise cases, the university has launched a Cangjie Innovation Class with a dual-mentor system that combines academic and industry guidance to strengthen practical skills and innovation. Students are guided to participate in smart healthcare development projects that use Cangjie, with industry mentors sharing hands-on techniques to sharpen students' technical insights and collaboration skills. Upon completion, participants receive a joint certification from the university and its industry partners, ensuring a direct match between talent and the regional needs of smart healthcare and AI industries.

Aligning curriculum development with industry advancement to build cutting-edge teaching resources: Shenzhen Polytechnic University has aligned curriculum development with technology evolution by transforming enterprise projects into teaching cases. The university established collaboration with Huawei during Cangjie's early development phase and was among the first to offer a Programming in Cangjie course. In October 2025, the Cangjie Programming Technology and Applications, jointly developed by the university and Huawei, was selected as one of the first seven national digital textbooks under the MOE's High-Skill Talent Cluster Training Program and the Vocational Education 101 Plan (see Figure 2).

Figure 2: Cangjie Programming Technology and Applications becomes one of the first seven national digital textbooks in the Vocational Education 101 Plan series

Figure 2: Cangjie Programming Technology and Applications becomes one of the first seven national digital textbooks in the Vocational Education 101 Plan series

Building ecosystem libraries through faculty-student partnership in open-source collaboration: Northeastern University has made full use of open-source community mechanisms to turn classroom theory into tangible open-source contributions. Led by Professor Zhang Yin, the SIG-Cangjie open-source organization has developed over 50 Cangjie-related open-source libraries. The cjmustache library jointly developed by faculty and students has been adopted and deployed in large projects. Through close open-source collaboration, students have acquired strong Cangjie programming skills while sharpening their practical abilities and open-source literacy through project iteration. This helps students lay a strong foundation for their future careers.

The development of the Cangjie talent ecosystem cannot be done by any party alone; it requires the combined efforts of universities, enterprises, and the wider industry. Today, the industry is sustained by four pillars: multi-tiered talent development, deep industry-education integration, open-source collaboration, and standardized certification. This collaborative framework breaks down barriers between talent supply and demand, and drives a virtuous cycle where ecosystem growth and talent development reinforce each other.

Moving forward, as university-industry collaboration deepens across areas such as joint curriculum development, hands-on training systems, faculty enablement, and certification pathways, a Cangjie talent pipeline from campus to industry will take shape at an ever-faster pace. This will inject lasting momentum into the digital future of China.

Industry-Education Collaboration:
AI Talent Cultivation Through Partnership

Zhao Weidong

Zhao Weidong

Associate Professor, College of Computer Science and Artificial Intelligence, Fudan University

Building a Talent Pipeline: A New Paradigm for Industry-Education Collaboration in AI

Fudan University and Huawei are reshaping AI education through industry collaboration, real-world cases, cloud platforms, and competitions, building a replicable talent pipeline.

As AI sweeps across the globe, universities are facing the unprecedented challenge of how to cultivate talent that can both push theoretical boundaries and solve real-world engineering problems. This is not just an academic puzzle — it is a shared concern for both academia and industry.

Fudan University, as one of China's leading research universities, is committed to reshaping its research and education paradigm in response to the AI for Science revolution and national strategic needs. It has pioneered a new talent development approach built on four pillars: industry-education collaboration, case-driven learning, platform support, and competition empowerment.

Fudan University has integrated AI into the basic sciences to form the multidisciplinary "AI-BEST" curriculum system. Through collaboration with enterprises like Huawei, it has created what can be called "embedded labs": real industry environments woven into the fabric of teaching, along with other collaborative mechanisms that bridge academia and industry. The goal is to cultivate interdisciplinary talent with deep technical grounding and cross-domain problem-solving skills. These initiatives have closed the loop from basic research to industrial application, forming an integrated learning ecosystem where academic knowledge is transformed into real-world abilities.

OpenMind Program: Bringing industry-frontier AI technologies into the classroom

At the heart of industry-education collaboration is the translation of real-world industry needs into teaching resources. In 2022, Fudan University and Huawei signed the "Ascend OpenMind Program" agreement, and our team undertook the task of developing and migrating few-shot learning models based on the MindSpore framework. This was more than a technical challenge. It was a dynamic medium that channeled industry technology into the classroom. We have been continually integrating Huawei's latest AI platforms and technologies into our teaching, allowing students to explore development frameworks in an industrial-grade environment.

Unlike the open-source frameworks commonly used in traditional teaching, the deep integration of MindSpore has given students much-needed exposure to different development environments. As one student put it, "Training and fine-tuning models on MindSpore gave us a real understanding of industry standards and expectations." This seamless connection between academia and industry has turned engineering skill development from a theoretical exercise into a genuinely hands-on practical experience.

Cloud-edge-device integration: AI supercomputing power for everyone

In AI education, limited computing power has long been a major obstacle for student hands-on practice. Students often found themselves unable to train complex models due to the limitations of their local machines. Our course has thoroughly integrated Huawei Cloud's ModelArts platform to ensure students have ample cloud computing resources at their disposal. This enables students to explore more advanced algorithm design and optimization.

In the hands-on phase, we designed a series of real-world applications, including group photo detection and recognition, smart kitchen environment monitoring, helmet detection for e-bike riders, and medical image segmentation. The teaching workflow requires students to first train and optimize models on ModelArts before deploying them to edge devices such as the Huawei Atlas developer board and Orange Pi for on-device inference. By going through the full cloud-edge-device pipeline, students gain end-to-end experience in AI project development and deployment. This has improved the quality of their work significantly and allowed them to apply what they have learned to real-world problems. For example, after completing the foundational lab work, one student group independently designed and implemented a "smart classroom student engagement analysis" project, using classroom video data to train a model that identifies student attendance and behavior — a strong demonstration of their ability to apply what they have learned to real problems.

Empowerment through competition: Validating and growing in industrial-grade practice

Competitions are the ideal proving grounds for teaching and learning outcomes. We have actively participated in the Huawei ICT Competition Teaching Track and organized students to join events such as the Huawei AI Operator Competition.

At the 9th Huawei ICT Competition Teaching Track, our designed project, the "Large-Scale High-Resolution Group Photo Detection and Recognition System", won the Grand Prize in the Experimental Teaching Case category (see Figure 1). This project has undergone multiple iterations, evolving from handling small group photos to addressing high-resolution, large-scale applications. It involved a technical migration from PyTorch to the Huawei MindSpore framework and used the Huawei ModelArts platform for model training and optimization, with support for edge-side deployment on Orange Pi developer boards. The accompanying data, code, and video resources for this case have now been open-sourced on the Huawei Talent platform and are widely used in undergraduate and graduate experimental teaching.

Figure 1: The faculty team from Fudan University won the Grand Prize in the Experimental Teaching Case category at the 9th Huawei ICT Competition Teaching Track

Figure 1: The faculty team from Fudan University won the Grand Prize in the Experimental Teaching Case category at the 9th Huawei ICT Competition Teaching Track

Student teams have also performed exceptionally well in the Huawei AI Operator Competition, an intense, industrial-grade training ground that challenges participants to design low-level operators for AI chips on the spot. Participating students noted, "The challenges we encountered and the problem-solving approaches we developed during the competition were invaluable experiences that we never could have had in the classroom."

Competition-based learning and teaching has not only sharpened student development, but teaching as well. While enabling students to strengthen their innovation, collaboration, and engineering execution, it has also enabled instructors to become more skilled in case design.

The collaboration between Fudan University and Huawei has delivered value on multiple fronts: Students gain cutting-edge technical skills and hands-on experience; faculty upgrade their teaching content and methods; the university strengthens its capacity and competitiveness in AI talent development; and the company secures the future talent it urgently needs.

From industry to classroom: Turning real projects into teaching cases

One of the main goals of industry-education collaboration is to turn industry practice into teachable assets. To this end, we have abstracted and simplified the outcomes of collaborative research projects with more than 20 enterprises, transforming them into teaching cases suited to lab-based learning. To date, we have accumulated over a dozen firsthand cases, including "smart kitchen environment monitoring", "helmet detection for e-bike riders", and "medical image segmentation".

The smart kitchen environment monitoring case originated from a collaborative research project with a renowned catering company. The case revolves around the real-time detection of pests and rodents in kitchen environments. In our teaching, we guide students through the entire process, from data annotation and model selection to fine-tuning and optimization on the ModelArts platform, and finally to deploying the model on the Huawei Orange Pi developer board with performance tuning.

Students actively explored various technical approaches including image enhancement and few-shot learning to tackle the problem of low recognition accuracy in dimly lit areas. These cases are not mere demonstrations; they are real-world projects sourced directly from the industry, covering the full development cycle. Students participate in every stage from R&D to delivery, solving engineering challenges just as they would in a corporate team. Through this hands-on approach, they develop engineering thinking and innovation capabilities, meeting the national "Golden Course" standards of "high-level, innovative, and challenging" content.

These cases have now been integrated into advanced coursework, with the publication of the textbook Deep Learning and Its Applications. Combining pedagogy with real-world engineering, these cases have become replicable and scalable teaching assets that help form a strong foundation for AI education.

The collaboration between Fudan University and Huawei has evolved from isolated project support into a full-fledged talent development ecosystem. It has blossomed into a replicable and scalable "Fudan-Huawei model" for national top-class course development and AI talent cultivation.

As someone who has had the honor to be part of this journey, I have seen the multiple layers of value this collaboration has generated: Students gain cutting-edge technical skills and hands-on experience; faculty upgrade their teaching content and methods; the university strengthens its talent development capacity and competitiveness; and the company secures the future talent it urgently needs. This success is the result of sustained commitment to genuine integration, real investment, and shared value creation.

We sincerely hope that the "Fudan-Huawei model" will kindle a wider spark, taking root in more universities across China and beyond. Together, we will build a strategic talent base that shapes the intelligent era and leads the future of technology.

Industry-Education Collaboration:
AI Talent Cultivation Through Partnership

Xu Jianling

Xu Jianling

Party Secretary, Shenzhen Polytechnic University

A Two-Decade Partnership: Forging AI Talent for the Future

Two decades of collaboration between SZPU and Huawei has forged an end-to-end model for cultivating real-world AI talent to drive innovation and growth.

Shenzhen Polytechnic university

Shenzhen Polytechnic University (SZPU) is the first vocational undergraduate institution in China that grew out of the national "Double High" Plan, a government initiative to develop high-level vocational schools and programs. SZPU is a beacon of China's vocational education and a leader in digital and intelligent teaching reform. The university aligns its curriculum with industry needs and works closely with Huawei to make AI talent cultivation a strategic priority. This collaboration goes beyond adding new technologies. It has driven a systemic overhaul of educational philosophy, governance, and industry alignment. This transformation covers everything from infrastructure and platform development to content innovation and management upgrades, all centered on industry-education integration and digital empowerment.

Together, SZPU and Huawei are delivering a clear answer to the challenge of digital and intelligent education reform, one that puts AI application talent at the service of the real economy.

Building a collaborative platform: From first steps to industry leadership

The partnership between SZPU and Huawei began in 2006. The industrial landscape has evolved significantly since then. In March 2023, Huawei established the first ICT Academy Support Center (IASC) at a vocational college in China on SZPU's campus. The center draws on Huawei's global training and certification systems to help universities run their ICT Academies more effectively and develop their teaching staff, with the goal of scaling up the cultivation of top-tier AI talent. SZPU, in turn, uses Huawei's expertise in integrated hardware-software solutions and end-to-end innovation to turn the center into a globally recognized model for AI talent development in vocational education.

Huawei's continued innovation in foundational technologies such as HarmonyOS, openEuler, and MindSpore has created new possibilities for industry-academia collaboration. In September 2025, the partnership deepened further with the launch of the Foundational Technology Industry College, which is built on Huawei's foundational ICT technologies and full-stack AI capabilities to develop quality AI programs and talent for the real economy. Li Junfeng, Huawei Vice President and CEO of the Global Public Sector BU said, "This is a true meeting of minds between AI and education. Through our foundational technologies, we aim to help SZPU produce more AI professionals who combine technical skill with practical problem-solving — the kind of talent that makes a real difference."

Upgrading the curriculum: When courses keep pace with change

AI talent cultivation lies at the heart of digital and intelligent teaching reform. SZPU and Huawei have taken an industry-driven approach, turning real-world industry resources, enterprise standards, and workplace scenarios into AI teaching materials.

First, they have redesigned the AI talent development model. Based on the specific needs of different AI programs of study and their corresponding job roles, the university has restructured its curricula (see Figure 1), embedding Huawei's foundational technologies such as Ascend AI, HarmonyOS, and openEuler into the teaching process. In addition, eight general education courses have been introduced across the university, covering AI, big data, blockchain, and other fields. This makes AI literacy a common foundation for all SZPU students.

Figure 1: Industry-academia collaborative talent development framework for AI programs

Figure 1: Industry-academia collaborative talent development framework for AI programs

Second, they have integrated coursework with certification. Together, SZPU and Huawei have developed curricula and certification standards covering cloud computing, big data, mobile communications, and data communications. In the communications technology program, a three-part curriculum structure divides the learning journey into three stages: foundational general education, professional foundation courses, and certification-oriented modules. The certification modules are offered at beginner, intermediate, and advanced levels across different specializations, allowing students to progress step by step based on their readiness and follow a clear path for professional growth.

Third, they have developed targeted courses and teaching materials for key areas. In 2023, SZPU took on a national initiative to develop high-skilled talent clusters in next-generation information technology, with a focus on creating vocational AI education resources. The university brought together a tripartite leadership team comprising representatives from leading companies, top schools, and industry organizations to work with Huawei on producing quality textbooks such as Programming in Cangjie, HarmonyOS Development in Practice, and Cloud Computing Technologies and Applications. These materials close the gap between what students learn and what they will actually use on the job, ensuring that classroom knowledge stays current with industry practice.

The partnership has also produced 11 Huawei-certified online courses, which are available not only to students, but to over 6.86 million engineers already working in the industry. As Wang Longjie, a professor at SZPU's School of Electronic and Communication Engineering, put it, "In the past, engineers had to go to Huawei headquarters for training. Now they can take these online courses anytime, anywhere, and even have their questions answered in real time. This model, where school-developed materials serve industry needs, turns teaching content from something that lives in a textbook into something that lives in the workplace."

Smarter campuses, better learning: AI that understands and serves

Digital and intelligent reform is not just about upgrading technology. It is about freeing people from rote work. SZPU and Huawei have woven the benefits of digitalization into every corner of campus life and administration, enabling a shift from a reactive model where people have to chase down what they need, to one where the system proactively matches the right support to the right person.

First, they have rolled out personalized teaching services. The university has deployed localized service platforms while breaking down data silos across its smart teaching command center, SZPU iLearning, and metaverse virtual simulation platforms. Using AI, the system forms a multidimensional profile for each student to track their learning progress, interests, and hands-on performance. This allows pinpointing of individual learning needs, dynamic assessments, and smart alerts. The result is a "one student, one plan" approach that makes personalized education a reality.

Second, they have introduced smart administrative services. SZPU, together with Huawei and other partners, has built a one-stop campus service platform that integrates nearly 500 service items. Whether it's course registration, fee payment, or equipment booking for students, or reimbursement, approval, and performance review for staff, everything can be handled online from start to finish. With the iSZPU app, the SZPU iLearning platform, and virtual simulation classrooms, students and faculty no longer need to travel across campuses, a dramatic improvement in efficiency.

Third, they have rolled out real-time service management. In early 2024, SZPU launched a custom-built campus AI model called SZPU iAsk. Trained on the university's policies, procedures, course information, and other key data, it powers an intelligent Q&A system that serves as a 24/7 AI assistant for every student and faculty member. SZPU iAsk provides accurate, on-demand guidance, whether it's for checking certification requirements or looking up reimbursement guidelines.

Beyond the campus: A model that resonates globally

The impact of the SZPU-Huawei partnership goes far beyond a single institution. Its ripple effects are now being felt across the world.

First, in strengthening Huawei's training ecosystem, the partnership has benefited both sides. In 2025, the IASC center worked with Huawei and its ecosystem partners to organize large-scale training sessions on technologies such as HarmonyOS, Cangjie, and openEuler, helping more than 140 teachers from similar institutions across China advance their professional skills. At HUAWEI CONNECT 2025, the center also offered training on its operating model to IASC representatives from around the world, turning SZPU's experience in talent development into a replicable and scalable model.

Throughout their years of collaboration, SZPU and Huawei have kept talent development at the core of their mission, building a talent ecosystem where education, talent, industry, and innovation feed into one another in a virtuous cycle of shared value creation.

Second, they have jointly built a demonstration center for industry-education collaborative talent development. In 2025, the IASC center received 178 visits from government, academic, corporate, and international delegations from countries including Singapore, Germany, and France. 44 of these were high-level education delegations comprising authoritative institutions and experts from various fields. These international visitors showed strong interest in SZPU's talent development model, where curricula and industry certifications evolve in tandem and reinforce each other, as well as in its AI courses and hands-on training resources in 5G, AI, and other areas.

Third, they have jointly delivered training programs outside China. In 2025, SZPU faculty teams were invited to the University of Plovdiv in Bulgaria, the Modern College of Business and Science in Oman, and Tun Hussein Onn University in Malaysia to deliver training on 5G, Cangjie programming, and digital and intelligent capacity building in vocational education. They also provided training on 5G, AI, cloud computing, and other in-demand technologies to over 100 participants from delegation groups including Ngee Ann Polytechnic and Temasek Polytechnic in Singapore, as well as CXO delegations from Philippine universities. These efforts have strengthened SZPU's ties with partners in Asia, Europe, and beyond in AI talent development and related industries.

Looking back on more than two decades of collaboration, SZPU and Huawei have kept talent development at the core of their mission throughout their journey of exploration and execution, building a talent ecosystem where education, talent, industry, and innovation feed into one another in a virtuous cycle of shared value creation. This is not just a convergence of technology and education, but a shared commitment to purpose and vision.

Looking ahead, SZPU will continue to deepen its strategic partnership with Huawei. Drawing on Huawei's AI expertise, the university will further digital and intelligent teaching reform, develop industry-aligned curricula, and align its talent development model with real-world needs. With education as the foundation, technology as the enabler, and collaboration as the guiding principle, SZPU and Huawei will contribute to the broader cause of education and societal progress, and to share practical insights from vocational education reform with partners around the world.

Industry-Education Collaboration:
AI Talent Cultivation Through Partnership

Christopher Chao

Christopher Chao

Senior Vice President (Research and Innovation) and Chair Professor, The Hong Kong Polytechnic University

To Learn, Apply, and Inspire: Building a High Ground for Talent Cultivation

PolyU and Huawei have built an AI talent pipeline for "teaching, research, incubation, competition, and globalization".

Universities, as some of the world's primary platforms for talent cultivation, are tasked with bridging academia and industry. With AI rapidly reshaping global industry, they are now faced with the challenge of cultivating new talent that possesses not only theoretical prowess in AI, but also practical capabilities and the ability to independently innovate.

The Hong Kong Polytechnic University's (PolyU's) motto is "To learn and to apply, for the benefit of mankind". This guiding principle has led PolyU to become an active explorer in academic AI research and innovation. Through its partnership with Huawei, it has also successfully built a comprehensive talent ecosystem that covers teaching, research, incubation, competition, and globalization. From establishing a joint laboratory and creating the renowned EvoClass team, to inaugurating the PolyU Kunpeng Ascend Science and Education Innovation Incubation Centre, this collaboration has created a new paradigm for university-industry collaborative education and AI talent cultivation that other universities can replicate.

Strategic synergies: Building anchor points for ecosystem co-construction

The foundation of PolyU and Huawei's collaboration lies in a strategic consensus they built on shared vision and aspiration. In June 2025, PolyU and Huawei Cloud Hong Kong officially signed a Memorandum of Understanding on AI talent cultivation and innovation ecosystem development (see Figure 1). The MoU marked a new milestone towards systemic collaboration. By leveraging their complementary strengths — PolyU's world-leading expertise in mathematics and statistics and Huawei's computing foundation and industrial resources — the partnership was able to focus on three core areas: co-developing AI curricula, delivering technical training, and aligning certification pathways. By defining a clear link between academic training and industry talent needs, this MoU was able to serve as a solid foundation for subsequent collaboration.

Figure 1: PolyU and Huawei Cloud signing a collaboration MoU in June 2025

Figure 1: PolyU and Huawei Cloud signing a collaboration MoU in June 2025

From there, the partnership continued to accelerate. In August 2025, they opened the PolyU Kunpeng Ascend Science and Education Innovation Incubation Centre. PolyU's President, Professor Jin-Guang Teng, recommitted the university to nurturing socially responsible professionals and leaders with a strong sense of national pride and a global perspective during the opening ceremony, and explained that AI had become a priority in both regional development planning and China's national strategy.

PolyU and Huawei have a strong foundation of collaboration in communications, algorithms, and materials science. The establishment of this incubation centre represented a deepening and extension of this partnership, as it would help them achieve further technological breakthroughs and contribute to their home nation's "Digital China" goals. David Wang, Huawei's Executive Director of the Board, also noted at the opening that Huawei would work with the incubation centre to fully utilize its strengths in computing, algorithms, and data, so that PolyU would achieve groundbreaking results in cutting-edge scientific research and high-quality talent cultivation.

Figure 2: Inauguration ceremony of the PolyU Kunpeng Ascend Science and Education Innovation Incubation Centre, August 2025

Figure 2: Inauguration ceremony of the PolyU Kunpeng Ascend Science and Education Innovation Incubation Centre, August 2025

The most recent advances of PolyU and Huawei's partnership materialized in September 2025, with the opening of their Mathematical Optimization Innovation Laboratory (MOI). As Huawei's first joint laboratory in Hong Kong dedicated to heterogeneous computing optimization, the MOI has rapidly become a platform where PolyU faculty and students can create cutting-edge AI algorithms and conduct interdisciplinary research. This has had a substantial impact on the university's multi-dimensional talent cultivation framework, supporting the integration of theory, technology, and practice.

Ecosystem enablement: Building an AI talent cultivation pipeline based on the AI 100 Schools Plan

While the MoU has served as the overarching blueprint for PolyU and Huawei's collaboration, Huawei's own AI 100 Schools Plan has provided the fuel needed to open technology platforms and share industrial resources. The Kunpeng Ascend Science and Innovation Incubation Centre provides the key platform for bringing this ecosystem to life. These three — the MoU, the Plan, and the Centre — complement each other, infusing PolyU's AI education with authentic industrial DNA and practical, real-world drive.

Huawei and PolyU have focused on innovation at two specific levels.

First, at the curriculum development level, they have worked on integrating cutting-edge industrial technologies and real-world application scenarios to bring AI training beyond the "ivory towers" of higher education. Huawei participated in PolyU's teaching reforms for AI-related programs, assisting in the development of customized course content. Huawei Cloud ModelArts one-stop AI development platform and Ascend series products have been precisely embedded into the teaching process. By incorporating practical modules such as image classification, object detection, and AI model deployment, students can hone their skills in the most authentic environments.

Second, at the research and startup incubation level, the partnership extends far beyond the classroom. Leveraging the ecosystem resources of Huawei's AI 100 Schools Plan, dozens of startups founded by PolyU faculty and students have successfully integrated into the Huawei Cloud global ecosystem. These startups have access to Huawei's cutting-edge computing resources, technical support, and industrial network, which allows them to transform research achievements from the laboratory into products that can succeed in the market. Furthermore, this has helped PolyU become the first university from Hong Kong to establish an incubation base in Singapore, where it connects with local enterprises, funds, and government resources through the Huawei ecosystem. This helps Hong Kong's AI startups enter the Asia-Pacific market. By helping young talent gain skill in all three areas — technology, innovation, and business — PolyU is able to achieve its original mission of "pursuing world-leading research and innovation for societal benefits". The incubation centre is also achieving its core goal by cultivating computing talent and building an innovation ecosystem.

Forging excellence through competition: Learning, innovating, and reaping results

Practice serves as the best yardstick for measuring the effectiveness of talent cultivation. Therefore, PolyU's faculty and students have both participated in the Huawei Developer Competition, a premier platform where global talent can demonstrate their academic strength, exchange ideas, and benchmark against international peers. In November 2025, the Huawei Developer Competition APAC Final was held at PolyU (see Figure 3). This event brought together nearly a thousand top developers from 10 countries and regions and received 192 high-quality innovative entries. The Competition became a true testing ground for evaluating the outcomes of PolyU's innovation development.

Figure 3: The 2025 Huawei Developer Competition APAC Final

Figure 3: The 2025 Huawei Developer Competition APAC Final

The PolyU EvoClass Nexus team took first prize in that year's Society and Sustainability Track, leveraging their technical expertise and highly socially valuable educational innovation solution. Led by Professor Cheng Ran, this team focused on filling cognitive gaps in modern education to develop "EvoClass" (see Figure 4), a next-generation AI-powered multi-agent education platform. The platform serves as an environment where AI agents and students can evolve together. By automating repetitive teaching tasks and providing contextualized, personalized learning feedback, the platform not only reduces the burden on teachers and improves efficiency, but also promotes the accessibility of quality educational resources, underscoring the core value of "technology empowers educational equity".

Figure 4: Professor Cheng Ran from PolyU introducing EvoClass, the AI-powered multi-agent education platform developed by his research team

Figure 4: Professor Cheng Ran from PolyU introducing EvoClass, the AI-powered multi-agent education platform developed by his research team

This win was a testament to the full-pipeline support provided through university-industry collaboration. During the project's development, the team used Huawei's computing platform, ModelArts development tools, and computing resources to efficiently complete model training and iterative optimization on massive datasets. Huawei technical experts provided deep, end-to-end support, which helped the team overcome multiple core technical bottlenecks. The platform has now been successfully applied in PolyU's DSAI2201 Data Structures and Algorithms course, significantly improving classroom engagement and learning outcomes. This demonstrates a rapid transformation from excellent competition results to everyday teaching practice.

The success of the EvoClass team is not an isolated case. Previously, PolyU startup LifeSparrow also won an award at the 2024 Huawei Developer Competition, becoming the only Hong Kong team to be honored at the event. These successive outstanding achievements not only confirm the scientific validity and effectiveness of the collaborative education model, but also solidify a virtuous cycle of "promoting learning, innovation, and industry through competition". By centering their technical training around Kunpeng and Ascend and conducting practical research in joint laboratories, PolyU and Huawei have found a way to cultivate talent that both meets industry needs and can compete on the global stage.

A new paradigm: From synergy to a thriving global ecosystem

From their initial collaboration in 2007 to the establishment of today's comprehensive, multi-layered synergistic ecosystem — encompassing the MoU, joint laboratories, incubation centres, the AI 100 Schools Plan, and talent competitions —PolyU and Huawei have been able to successfully train a cohort of globally competitive AI talents, and forge a new, replicable, and scalable paradigm for university-industry collaboration.

PolyU's academic strengths in fields like engineering and AI medicine have provided a solid theoretical foundation for talent cultivation, while Huawei's industry resources offer students a fertile ground for practice. The two parties have achieved a virtuous cycle where academia nourishes industry, and industry, in turn, supports academia, setting a benchmark for deep university-industry integration. In addition, PolyU and Huawei jointly organized academic forums and other activities that have brought more universities from across the Asia-Pacific region into the fold, and PolyU was a standout speaker at the Huawei Developer Competition, sharing their experience and achievements in talent cultivation and research. From the international hub of Hong Kong, this innovative model's influence has been extended to universities across Asia Pacific, adding China's industry resources to the global innovation and technology ecosystem.

Figure 5: PolyU and Huawei executives meeting during MWC 2026

Figure 5: PolyU and Huawei executives meeting during MWC 2026

Looking ahead, AI technologies will continue to evolve at an unprecedented rate. Therefore, PolyU and Huawei plan to further deepen their collaboration model and continue integrating "research, talent, and education". Together, they want to cultivate more top-tier AI professionals who possess a strong awareness of social responsibilities and a global perspective. They will also expand their global collaboration network, promoting the deep application of AI technologies in critical sectors such as healthcare, education, and communications.

The PolyU–Huawei partnership has fully demonstrated that high-level university-industry collaboration is by no means a simple superposition of resources. Rather, it represents deep integration built on shared vision, complementary strengths, and jointly cultivated ecosystems. Only by breaking down disciplinary and industrial barriers, making concerted efforts to cultivate talent, leveraging physical platforms as support, and ensuring a full-pipeline ecosystem, can AI talents truly take root and flourish. This in turn will inject sustained and powerful momentum into the innovative development of the digital era.

Industry-Education Collaboration:
AI Talent Cultivation Through Partnership

Sun Bing

Sun Bing

Associate Director, Professor & Senior Engineer, Department of Communication Engineering, School of Electronics and Information Engineering, Nanjing University of Information Science and Technology

Engineering Education for the AI Frontier

NUIST's Huawei Experimental Class bridges academia and industry with frontier tech, theory-practice alternation, and deep integration to nurture AI-ready engineers.

Nanjing University of Information Science and Technology (NUIST) has a strong heritage of academic excellence. Founded in 1960 as the Nanjing Institute of Meteorology, it was the first meteorological undergraduate institution in the country, which earned it the title "cradle of meteorological talent". In 1978, it was named one of China's 88 key national universities. Today, it holds national Double First-Class status and is ranked as a Class A institution in Jiangsu Province's top-tier university development program. The university's atmospheric science program has won acclaim for its world-class quality, and its information engineering fields, especially computer science, now rank among the top 1‰ in the world.

In recent years, digital technologies like AI, big data, and computing networks have been reshaping industries at an unprecedented pace. As meteorology, communications, and other sectors accelerate their digital and intelligent transformation, the demands on engineering talent have shifted. Graduates need to possess not only a wealth of knowledge, but the ability to innovate across disciplines and solve real-world problems.

In response to these changing needs, NUIST has broken through the traditional boundaries between academia and industry. Together with Huawei, it has launched an experimental honors class called the Huawei Experimental Class. Through curriculum reforms in 2022 and 2024, the program has embedded cutting-edge technologies, such as Huawei's Ascend machine learning, IPv6+ compute-network convergence, and Kunpeng cloud computing, into its talent development framework and curriculum. The class operates on a dual-mentor system, with faculty from both the university and Huawei guiding students, and maintains regular industry engagement through site visits, expert lectures, and hands-on training at Huawei. The curriculum and talent development framework are jointly designed by NUIST and Huawei, ensuring that academic learning stays closely aligned with industry needs. These efforts are more than a change in teaching format. They have crystallized into a core educational philosophy: frontier focus, theory-practice alternation, and deep integration.

New approaches to engineering talent development

1. Rethinking talent development

In traditional engineering education, university curricula cannot keep pace with the rapid evolution of the ICT industry. Technology in the industry moves at the speed of Moore's Law, while course offerings are typically revised annually, resulting in a persistent lag in turning new knowledge into teaching materials. To bridge this gap, the Huawei Experimental Class has taken a different approach. We look directly to the global technology frontier, drawing on Huawei's wealth of technical expertise and engineering knowledge base as our source material. From there, we restructure our talent development framework and redesign our courses, turning cutting-edge industry knowledge into advanced teaching resources.

At the top level, the class is built around three core objectives: developing students' cutting-edge technical skills, comprehensive hands-on capabilities, and innovative thinking. To achieve these objectives, we have redesigned our industry-education integrated courses across four dimensions: teaching content, learning resources, teaching methods, and assessment (see Figure 1). By bringing real-world industry scenarios into the classroom, we have created a learning cycle where students continually move between theory and practice, deepening their understanding and skills with each round of the cycle. This approach embraces the new philosophy of engineering education: frontier focus, theory-practice alternation, and deep industry-academia integration, bringing together knowledge, capability, and holistic development in a single coherent framework.

Figure 1: Rethinking talent development — a framework for innovation

Figure 1: Rethinking talent development — a framework for innovation

2. Redesigning curricula and learning resources

To give students a systematic grasp of emerging ICT technologies and a real understanding of how AI is reshaping industries, we have jointly developed seven new courses with Huawei, all focused on cutting-edge industry technologies. These are not superficial introductory courses, but deep dives into the technology stack.

In the Machine Learning course, for example, students work directly with Huawei's Ascend operator development and the CANN full-stack AI computing framework. They learn the theory behind the algorithms while gaining valuable hands-on experience in operator development and model optimization on a homegrown computing platform.

In the Next-Generation Internet course, students explore IPv6+ protocols and service innovation, and learn how AI can enable networks to sense traffic patterns, detect faults, and self-heal. The goal is to give students a tangible understanding of how algorithms and network protocols work together in intelligent systems.

To ensure the quality of lab instruction in these advanced courses, all hands-on sessions are jointly developed and taught by NUIST faculty and Huawei's experimental education experts. Lab designs are based on real-world deployment scenarios from Huawei's ICT operations. In specialized courses, lab work is organized around project-based learning, covering the entire cycle from requirement analysis and solution design to deployment, testing, and validation.

This layered approach has given us a structured, hands-on lab system that students move through progressively. Through this intensive practical education, students gain thorough exposure to real-world environments and develop a genuine feel for actual engineering problems. This allows them to build the mindsets needed to tackle complex challenges creatively and, in the process, learn how to put knowledge to work.

In addition to pedagogical innovation, we also emphasize the importance of cultivating character and values. In our regular teaching, we integrate value-based content into the professional knowledge and applications we teach, using two complementary methods.

One is open discussion. When we cover Huawei's core software and hardware technologies, such as high-performance chips, distributed operating systems, and computing clusters, instructors share the story of how a company, operating in a challenging global environment, pushed through technological barriers with persistence and innovation. These real-world stories help students develop a sense of purpose and a commitment to using technology for the common good.

The other method is embedded practice. We use industry scenarios and real business problems for group discussions and collaborative lab work, creating opportunities for students to develop resilience, creative problem-solving skills, and teamwork skills — qualities cultivated not through lectures, but through hands-on collaboration.

3. Transforming teaching methods

Traditional lecture-heavy models no longer work for fast-moving, highly interactive fields like AI and networking. That is why the Huawei Experimental Class uses active discussion-based teaching in small classes.

In the classroom, we rely heavily on in-class topical discussions, group brainstorming sessions, student presentations, and peer review across groups (see Figure 2). These activities spark student interest, help them internalize complex next-generation Internet technologies, and strengthen their ability to think critically and independently, synthesize knowledge, and apply knowledge flexibly. The activities help the students cultivate the systematic, critical, and creative thinking needed for engineering in the AI era.

Figure 2: The 'Question-Think-Discuss-Present-Evaluate' group discussion model in action

Figure 2: The "Question-Think-Discuss-Present-Evaluate" group discussion model in action

Group discussions are supported by an online platform that enables transparent peer evaluation between groups. Scores are accumulated at the group level and factored into students' final grades with appropriate weighting. This teaching method draws on the inquiry-based, discussion-driven training approach I used during my time at Huawei, where I was responsible for training new employees. Adapted for the university setting, we call it the "Question-Think-Discuss-Present-Evaluate" five-step method:

  • Question: The instructor poses a targeted, challenging question grounded in real industry problems.
  • Think: Students are given time to think independently, draw on their knowledge base, and work through the problem on their own.
  • Discuss: Teams engage in lively discussion, where diverse perspectives are debated and synthesized into a coherent solution.
  • Present: Representatives from each group take turns presenting their findings clearly and logically, sharpening their ability to articulate and defend their ideas.
  • Evaluate: Peer review and instructor feedback are combined with real-time online scoring to provide multidimensional assessment and close the feedback loop.

These five closely linked steps turn the classroom into a high-energy incubator for knowledge, where cutting-edge ideas take root through intense intellectual exchange.

What we have achieved

1. Student outcomes

The first cohort of the Huawei Experimental Class has demonstrated exceptional academic strength and engineering capabilities, excelling in both research and competitions.

By the end of their undergraduate studies, the class had published 9 SCI journal papers and 17 national-level papers. They had also filed and been granted 16 national invention patents that fulfill real industry needs. In high-level discipline competitions, the class accumulated 49 national awards and 79 provincial awards, including a First Prize in the National Final of the Huawei ICT Competition Practice Track.

For further education, 32% of the first cohort were admitted to China's Project 985 universities for master's programs, 36% were admitted to Project 211 universities, and 21% chose to study abroad. The class was named an Outstanding Class in Jiangsu province in 2024.

Here are two examples from the first cohort:

  • Wang Ximing, a member of the Student President Advisory Group and class monitor. During his studies, he followed cutting-edge engineering developments closely and published a textbook, Introduction to 8051 Microcontrollers, as first author, turning his own learning approach into a resource that guides students who are just getting started. He also holds a national invention patent as first author. For his strong performance in both academic and industry-oriented work, Wang received the Huawei Intelligent Base Scholarship for two consecutive years and received six master's program offers from the universities ranking among the top 100 in the world, including The Hong Kong Polytechnic University.
  • Wu Yutong, a student leader on campus, is also a standout in academic research and discipline competitions. She has won a total of eight national and provincial awards, including the National First Prize in the Blue Bridge Cup National College Student Software and Information Technology Competition, the Jiangsu Provincial First Prize in the National College Mathematical Contest in Modeling, and the Jiangsu Provincial Second Prize in the National College Electronic Design Competition. She also led a provincial-level college student innovation and entrepreneurship training program, published an SCI paper as first author in an international academic journal, and secured a software copyright and a national invention patent.

2. Teaching reform outcomes

In 2024, NUIST's Huawei ICT Academy was recognized by Huawei for its outstanding talent development outcomes, curriculum design, and broad industry influence, and was officially upgraded to an Advanced Huawei ICT Academy.

Figure 3: Teaching honors and recognitions

Figure 3: Teaching honors and recognitions

At the same time, the faculty team deeply involved in the experimental class's cutting-edge courses also earned accolades. Several key instructors were honored with the Ministry of Education's Intelligent Base Outstanding Educator award and received Huawei Developer Advocate certification. The teaching achievements developed by the core Huawei Experimental Class team won the Second Prize in the Industry-Education Collaboration Track at the 4th Jiangsu Provincial College Teaching Innovation Competition (see Figure 3).

The core faculty of the Huawei Experimental Class did not rest on their laurels. Building on their frontline experience in integrating cutting-edge industry technologies into teaching and talent development, they engaged in deep reflection and synthesis to secure multiple national and provincial-level teaching reform projects. These included a top-priority research project under Jiangsu's higher education teaching reform program in 2023.

In addition, the experimental class has received in-depth feature coverage from major national and provincial media outlets such as Guangming Daily, Xinhua Daily, China Education Daily, and Nanjing Daily, generating broad positive influence across higher education circles.

Through its model of frontier-focused learning, alternating theory with practice, and deep integration with industry, NUIST's Huawei Experimental Class has created a platform on which students can freely explore cutting-edge ICT technologies and develop the ability to solve complex engineering problems creatively. Throughout the process, the program has also helped students build a strong sense of purpose and responsibility in applying technology for good.

Moving forward, we will continue to deepen our partnership with Huawei. This means refining our curriculum, expanding learning resources, and exploring new teaching methods. Our goal is to advance industry-education collaboration and cultivate more engineering talent with global perspectives, innovative thinking, and strong practical skills. This will help build a stronger digital economy and enable the intelligent transformation of industries.

Industry-Education Collaboration:
AI Talent Cultivation Through Partnership

Wang Xin

Wang Xin

Head of Talent Development, China Region, Huawei

The Challenge Track: Homegrown Computing Meets University Supercomputing

A competition running entirely on Kunpeng and Ascend platforms, the Challenge Track connects university talent with real industry needs through HPC-AI convergence.

In April 2026, the Challenge Track of the 10th Huawei ICT Competition China Final came to a close at Huazhong University of Science and Technology in Wuhan. 28 universities and 47 teams registered, with 16 advancing to the national final. This was the second year of the Challenge Track. In reflecting on what this means for computing talent development in China, I want to share why we started this track and what changes have seen over the past two years.

Breaking ecosystem dependence: Why Huawei launched a homegrown computing competition

It started with a problem that was hard to ignore. When it comes to university supercomputing competitions, the Student Supercomputer Challenge organized by Asian Supercomputer Community (ASC) has been the most influential in China. ASC has been producing top computing talent for over a decade. Some of these competitors have become leading researchers working on large models at OpenAI and Meta. Others have gone on to explore high-performance computing at supercomputing centers, and many have joined major tech companies as core AI researchers.

But here is the reality: The platforms used in ASC's competitions are overwhelmingly x86-based systems with GPU acceleration. The optimization skills and technical understanding that students develop during their training are largely tied to technology ecosystems based outside China. When they graduate and enter the industry, they are naturally more familiar with the computing architectures developed within those ecosystems. If they want to work on homegrown platforms, they have to start from scratch.

In recent years, there has been remarkable progress in homegrown computing platforms in China. With the rapid development of China's AI and supercomputing industries, these platforms have made significant strides in both technical performance and ecosystem maturity. This got us thinking: Could the Huawei ICT Competition launch a supercomputing track that runs entirely on homegrown platforms — one that would challenge the brightest young minds to test, optimize, and propose improvements to Kunpeng and Ascend? After all, the competition already has a national reach and a strong presence in China's university ecosystem.

In 2024, the Challenge Track made its debut at the 9th Huawei ICT Competition (see Figure 1). At the time, it featured two sub-tracks: Kunpeng HPC performance optimization and Ascend large model performance optimization. Twelve universities were invited, including those with established strengths in computer architecture: the University of Science and Technology of China, Tsinghua University, Zhejiang University, and Beihang University.

Figure 1: The Challenge Track of the 9th Huawei ICT Competition China Final

Figure 1: The Challenge Track of the 9th Huawei ICT Competition China Final

Ni Guangnan, a renowned computer scientist and academician from the Chinese Academy of Engineering, made a comment that left a strong impression on us, "I believe the future of homegrown technology lies in the hands of talented people, and competitions are a vital way to cultivate and discover that talent. We must invest in building a talent ecosystem and make the most of platforms like this one, so that homegrown technologies can flourish with the support of skilled people and reach the forefront of the world." In that moment, we knew we were on the right path.

Focusing on HPC-AI convergence: Evolving the competition for industry relevance

Building on our experience from the Challenge Track's first year, we made a significant change for the 10th edition: We merged the two sub-tracks into a single track centered on HPC-AI convergence, combining high-performance computing with AI workloads.

Why this change? In scientific computing, AI acceleration is now essential, as increasing numbers of simulations and data-intensive workloads are powered by AI models. In large model training, distributed parallelism is a must, because scaling across thousands of accelerators is the only way to handle the scale of modern AI. These two areas are no longer separate disciplines. By using HPC-AI convergence as the theme, covering areas such as supercomputing benchmark performance optimization, parallel computing tuning, AI operator acceleration, and LLM inference efficiency improvement, we wanted to give participating students a real taste of the diverse challenges they will encounter in industry.

For this edition of the Challenge Track, we drew on the best practices of ASC, retaining classic HPC problems while introducing new tasks focused on CANN operator development and Ascend inference optimization. We also invited the xLLM team to design a dedicated problem set based on their homegrown inference engine. This ensured that every task in the competition was closely aligned with real industry needs.

With these changes, the competition drew 47 teams from 28 universities. There was a clear interdisciplinary mix among the participating teams, with students from computer science, AI, mathematics, atmospheric science, and other fields. Despite being first-time participants in the Challenge Track, institutions including Beijing University of Posts and Telecommunications, Sun Yat-sen University, Xi'an Jiaotong University, and Northwestern Polytechnical University all had strong track records in ASC and other major AI competitions. It was clear that HPC-AI convergence was already becoming a major direction for Chinese universities.

At the opening ceremony of the finals on April 15, 2026, Qian Depei, an academician from the Chinese Academy of Sciences, highlighted three ways the Challenge Track embeds the HPC-AI convergence concept into the competition: It responds directly to real industry needs, it gives a strong push to the homegrown computing ecosystem, and it offers an innovative model for industry-education collaboration.

Beyond the competition: A win-win for Huawei, universities, and industry

Two editions in, we wanted to make sure we were not running the Challenge Track just for the sake of it. Looking back at why we started it in the first place, there are three things worth highlighting.

1. Talent cultivation: Forging talent for the homegrown computing stack

With growing technology barriers in the global computing landscape, the push for homegrown computing power has become a strategic priority. Talent is at the heart of this effort. The value of the Challenge Track lies in giving students from top universities opportunities for hands-on experience with Kunpeng and Ascend platforms. This lets them sharpen their skills through real optimization challenges and emerge as a generation of young talent who truly understand homegrown technology and know how to push its performance. These individuals are the seeds of the future homegrown computing ecosystem, the kind of top-tier talent that will go on to shape the industry, whether in tech companies, research institutions, or other sectors.

Figure 2: The Challenge Track of the 10th Huawei ICT Competition China Final

Figure 2: The Challenge Track of the 10th Huawei ICT Competition China Final

2. Teaching reform: Building team culture and reshaping curricula

Many of the participating universities already have a strong presence in international supercomputing competitions, with well-established student clubs and mentoring systems in place. Groups like Zhejiang University's Supercomputing 101 and Shanghai Jiao Tong University's Team Xflops have cultivated a strong culture of peer learning, where experienced students pass on their knowledge in system building and performance tuning to newer members. As the Challenge Track continues, the training focus of these clubs will increasingly extend to homegrown technology stacks.

There is another, deeper shift taking place, one that involves the curriculum itself. Traditional university courses tend to emphasize algorithm theory, with less focus on the kind of engineering skills urgently needed in the industry, such as hardware-software synergetic optimization and operator development. The Challenge Track has brought these skills to the forefront, and many faculty members are already thinking about how to transform their courses. As Feng Dan, Vice President of Huazhong University of Science and Technology, put it, the goal is simple, "Bring industry needs into the campus, embed real-world scenarios into teaching, and let students sharpen their skills through genuine hands-on experience."

3. Ecosystem building: Igniting open-source communities through industry-education collaboration

This year, the collaboration between the Challenge Track and the xLLM team went beyond simply designing competition problems. After this year's competition, the partnership between xLLM and the Ascend ecosystem and Huawei ICT Academy has entered a new phase. The xLLM team has expressed their commitment to deepening collaboration with Huawei in university developer ecosystems, and to jointly growing the CANN and xLLM open-source communities. Ecosystem development should be about shared growth, co-creation, and mutual benefit — and the Challenge Track has set a new direction for university competitions.

Closing the loop: A virtuous cycle of talent and technology

From its debut in the 9th edition to its full-scale rollout in the 10th, the Challenge Track has created a meaningful presence in just two years. The Huawei ICT Competition itself is already a globally recognized brand, covering over 100 countries and regions and more than 2,000 universities and colleges. As one of its competition tracks, the Challenge Track is focused squarely on homegrown computing platforms and the direction of HPC-AI convergence.

This competition has never been an end in itself. Our goal has always been clear: to use the competition as a vehicle for training, learning, and application. Through this platform, we want university students to engage with real industry challenges, homegrown computing platforms to be tested in practice, and talent development and technology iteration to reinforce each other in a virtuous cycle.

When supercomputing meets AI, and homegrown computing becomes the stage for competition, a transformation involving talent, ecosystems, and the future is quietly unfolding through collaboration both on and off the field. We are honored to be part of it, and we are committed to seeing this path through.

huawei ict challenge finalists training camp

Industry-Education Collaboration:
AI Talent Cultivation Through Partnership

Zang Qing

Zang Qing

Professor and Director, General Office of the Undergraduate School, Nanjing University of Posts and Telecommunications

Cultivating Fertile Digital Soil, Where AI Pioneers Flourish

NJUPT and Huawei co-build an AI talent ecosystem through joint curriculum, shared practice platforms, competitions, certification, and faculty development.

"Huawei is where every passion finds its place, and every effort has room to shine." These are the heartfelt words of Yue Bo, a 2026 graduating student at Nanjing University of Posts and Telecommunications (NJUPT). In 2024, a 5G technology sharing session delivered by Huawei experts on that same campus planted the seed of a dream. Through the joint talent development program between NJUPT and Huawei, he secured an internship with Huawei's Cloud Native Enterprise Development Department, where he blended academic thinking with industry-frontier perspectives to systematically build the capabilities required of a customer manager (see Figure 1). Today, more than 200 NJUPT graduates join Huawei each year. The deep partnership between NJUPT and Huawei is lighting the path for a generation of students as they move from the uncertainty of early campus life to the steady confidence of the professional stage.

Figure 1: NJUPT 2026 graduate Yue Bo (male, second from right) during his internship at Huawei's Songshan Lake campus

Figure 1: NJUPT 2026 graduate Yue Bo (male, second from right) during his internship at Huawei's Songshan Lake campus

As information technology races forward and industries undergo digital transformation, university-enterprise collaboration in talent development has become a defining imperative of our time. Since establishing a strategic partnership in 2020, NJUPT and Huawei have built their collaboration step by step — moving from pilot initiatives to broad, systemic cooperation. This has resulted in a structured mechanism for industry-education integration, which is grounded in five core pathways: co-developing curricula, sharing practice platforms, co-hosting competitions, jointly promoting skills certification, and co-building faculty. Together, they form a distinctive and demonstrably effective NJUPT–Huawei collaboration model.

Co-developing curricula: Anchoring at the AI frontier, rebuilding the training plan

Since launching their ICT talent development partnership in March 2021, NJUPT and Huawei have placed the AI curriculum at the center of their collaboration. In the early phase, they introduced 12 specialized courses covering Huawei's AI, cloud computing, and other frontier technologies. By September 2023, the partnership had expanded to include core departments such as the School of Communications and Information Engineering and the College of Electronic and Optical Engineering, adding eight more core courses. What began as scattered pilots had grown into coordinated, multi-department collaboration.

Five years into the partnership, the work has evolved well beyond curriculum co-development into multi-dimensional collaboration, spanning faculty training, platform sharing, and resource co-creation. This has resulted in an end-to-end training system that extends from AI theory learning and hands-on practice to skills certification and career placement. To date, more than 1,200 graduates from 20 schools — including the School of Communications and Information Engineering and the College of Electronic and Optical Engineering — have joined core divisions at Huawei's Nanjing Research Institute, Shanghai Research Institute, and Huawei Cloud, as well as teams across the HarmonyOS ecosystem, via campus recruitment, joint training programs, and internship conversions.

Looking ahead to 2026, the two partners plan to co-develop 21 courses around Kunpeng, Ascend, and Huawei Cloud, which are projected to see 1,754 student course engagements. They will also focus on building 12 "Intelligent Base" benchmark gold-standard courses, pushing the curriculum toward even greater depth and refinement.

The NJUPT–Huawei partnership has moved beyond standalone research and project collaboration into a multi-dimensional innovation system built upon platform co-development, joint talent cultivation, collaborative technology research, and shared achievements.

Sharing practice platforms: Immersive environments that build real engineering skills

Practice platforms are where theory meets application. The School of Internet of Things offers a leading example in this regard. In August 2020, NJUPT and Huawei jointly established the Huawei ICT Academy, the Future Technology Academy, and the 5G IoT Laboratory. Equipped with Huawei's cutting-edge IoT devices and cloud computing platform, the lab enables students to run full-cycle projects, from device connection and protocol debugging all the way to system development and cloud deployment.

One standout graduate student's story tells of how he contributed to 5G algorithm R&D in the joint lab while still on campus. A summer internship with Huawei took him directly to the wireless division at the Nanjing Research Institute. He then joined the institute full-time after graduation and quickly rose to become a core team member. His trajectory — building competence in school and performing from day one on the job — speaks to the true value of jointly built platforms when developing engineering-ready talent.

Co-hosting competitions: Completing the "learn, train, compete, evaluate" loop

Competitions are a proving ground, testing what students have learned and sharpening their capacity for innovation. NJUPT has woven the Huawei ICT Competition deep into its talent development process, actively hosting provincial-level events and encouraging broad student participation. In the eighth edition of the competition, students from the School of Internet of Things won a national Third Prize in the Innovation Track. In the ninth, NJUPT students took home multiple provincial awards in the Network and Cloud tracks. In 2024, students from the School of Automation and the College of Artificial Intelligence went further still, earning a silver award in the Basic Operator Development category at the AI-Native Innovation Operator Challenge finals.

In 2025, NJUPT hosted the Jiangsu provincial practice round of the 10th Huawei ICT Competition (China national finals), bringing together nearly 700 teachers and students from over 80 universities across the province (see Figure 2). This competition goes beyond testing theoretical breadth, with a keen focus on solving real engineering problems in AI, networking, cloud, and foundational software. Therefore, it completes a full-cycle loop of learning, training, competition, and evaluation, unlocking the creative potential of students across the board.

Figure 2: The Jiangsu provincial practice round of the 10th Huawei ICT Competition (China national finals), held at NJUPT

Figure 2: The Jiangsu provincial practice round of the 10th Huawei ICT Competition (China national finals), held at NJUPT

Jointly promoting skills certification: Aligning with industry standards, sharpening competitiveness

Professional certification is like a passport into the industry. NJUPT has actively integrated the Huawei certification system into its programs, embedding knowledge modules such as the Huawei Cloud Certified Developer Associate-Artificial Intelligence (HCCDA-AI) into everyday teaching. Huawei technical experts also provide targeted exam preparation, walking students through difficult technical points and helping them tackle the toughest challenges.

In the Huawei Cloud AI Developer Certification exam, more than 70 students from the School of Internet of Things demonstrated outstanding professional competence, achieving a pass rate of 95%. The initiative has delivered on the goal of "course-certification integration, certification-driven empowerment", giving students tangible professional credentials and a sharper edge in the job market.

Co-building the faculty: Two-way empowerment, turning pedagogical reform into results

High-quality faculty are the foundation of high-quality talent development. In recent years, more than 10 NJUPT instructors have participated in Huawei's teacher training and Intelligent Base program workshops, building systematic expertise in frontier technologies including Kunpeng, Ascend, and HarmonyOS. The real-world project cases and experimental resources Huawei provides help faculty bring the cutting edge of industry deep into classrooms. Two projects have secured approval as 2025 Ministry of Education industry-education collaborative projects: Sa Tongliang's Cangjie Language Programming course and its accompanying practice platform, and Ding Fei's blended redesign and implementation of the IoT and HarmonyOS Innovative Practice course. Together, NJUPT and Huawei have built Huawei certification courses and virtual teaching and research studios, translating real industry needs into teaching content and precisely aligning the education chain with the industry chain.

Figure 3: Miao Lizhi delivers a keynote at the 2024 Jiangsu ICT Talent Development Forum

Figure 3: Miao Lizhi delivers a keynote at the 2024 Jiangsu ICT Talent Development Forum

At the 2024 Jiangsu ICT Talent Development Forum, Miao Lizhi, Associate Dean of the School of Internet of Things, shared the NJUPT–Huawei partnership as a case study (see Figure 3), showing how frontline practice can be transformed into a replicable teaching model — a clear demonstration of the value and ripple effects of university-enterprise collaboration.

In summary, collaboration between NJUPT and Huawei has evolved from early-stage resource provision into a deeply integrated strategic partnership. In 2025, the two sides jointly launched the NJUPT–Huawei Joint Talent Development Program (see Figure 4), marking a milestone strategic upgrade — from standalone research project collaboration to a multi-dimensional innovation system built on platform co-development, joint talent cultivation, collaborative technology research, and shared achievements.

Figure 4: Launching the NJUPT–Huawei Joint Talent Development Program

Figure 4: Launching the NJUPT–Huawei Joint Talent Development Program

NJUPT and Huawei remain committed to collaborative innovation and joint talent cultivation. They will deepen cooperation across AI curriculum iteration, practice platform upgrades, competition and certification system innovation, and faculty exchanges, while actively exploring long-term mechanisms such as flexible academic structures and mutual credit recognition. By building an open, collaborative, and sustainable AI talent development ecosystem, they aim to supply a steady stream of high-caliber AI professionals for the development of a Digital China and the global ICT industry.

Industry-Education Collaboration:
AI Talent Cultivation Through Partnership

Shen Jiquan

Shen Jiquan

President of Anyang Institute of Technology

Unlocking the "Anyang Model" for Applied AI Talent Development

AIT built a course-certification-competition-career closed loop with Huawei ICT Academy to train applied AI talent, offering a replicable model for local industries.

Anyang Institute of Technology (AIT) is an applied undergraduate institution with deep roots in the region and a commitment to serving local industrial development. To meet the talent needs of regional manufacturing digital transformation, the university has used the Huawei ICT Academy platform to bring in Huawei's full-stack AI technologies. This systematically cultivates applied AI talent for the front lines of industry.

The collaboration is built around integrating AI across academic programs, with a focus on areas such as AI + manufacturing and AI + software. Real industry needs and technical standards are embedded into programs of study. Through hands-on work on Huawei's computing platforms and development environments, students learn to solve complex engineering problems based on a strong theoretical foundation, developing the technical skills needed for the intelligent transformation of local industries.

The starting point: Why Kunpeng?

The gap between university education and industry needs is real. Training AI engineers who understand both theory and practice is AIT's main challenge as an applied undergraduate institution. In 2020, the university found a solution to this challenge: the Huawei Kunpeng Industry Academy.

Kunpeng was a strategic choice. It provides a full-stack environment, from underlying computing power to upper-layer applications, allowing students to understand AI from the system level up and gain hands-on experience across the entire chain in real hardware and software environments. At the same time, it addresses the regional industry's demand for homegrown technology talent. By turning job standards into teaching content, the program ensures that talent development is aligned with gaps in local industry. This forms a solid domestic computing foundation for AI education and ensures talent cultivation is grounded in real industry needs.

In December 2025, Anyang Institute of Technology was officially elevated to Huawei's highest-tier ICT Academy designation — an Advanced Huawei ICT Academy.

Phase 1: Building the foundation, launching AI (2020–2021)

The partnership began with the joint establishment of the Kunpeng Industry Academy, with the primary goal of building a domestic computing and development environment for AI talent cultivation. This phase marked a critical shift from general ICT technologies to Kunpeng-native AI development. Through curriculum integration and certification training, the program laid a strong foundation for deeper AI teaching and application.

Phase 2: Integrating curricula, building capabilities (2021–2022)

As the partnership gained momentum, the university was officially accredited as a Huawei ICT Academy, and the focus quickly shifted to embedding full-stack AI technologies into the curriculum. By developing tailored lab cases and certification pathways, the Academy connected isolated knowledge into a complete capability chain aligned with industry applications, achieving a precise match between talent development and the cutting-edge technology ecosystem.

Phase 3: Deepening systems, setting benchmarks (2023–present)

Building on a solid curriculum and platform foundation, the partnership entered a phase of systematic deepening and tangible outcomes. By establishing a Huawei certification testing center, taking on real-world projects, and participating in high-level competitions such as the Huawei ICT Competition, the Academy has enabled faculty and students to innovate in the Kunpeng ecosystem. In January 2026, Anyang Institute of Technology was officially upgraded to an Advanced Huawei ICT Academy (see Figure 1), turning the collaboration model into a benchmark worth emulating.

Figure 1: Unveiling ceremony of Anyang Institute of Technology's Advanced Huawei ICT Academy

Figure 1: Unveiling ceremony of Anyang Institute of Technology's Advanced Huawei ICT Academy

This journey shows a clear arc. The partnership started by building a foundation on the ecosystem, sharpened its focus on AI, and scaled through systematic empowerment, evolving from a technology platform into a full-fledged model for producing top-tier AI talent.

The model: A course-certification-competition-career closed loop

The Academy has created an integrated course-certification-competition-career mechanism to build a high-performance talent development loop, with the Huawei AI ecosystem at its core. This "Anyang Model" translates industry needs into teaching standards and forms a seamless path that connects coursework, professional certification, competition-based training, and industry employment.

Integrating coursework and certification, and moving beyond ivory tower learning. We have embedded Huawei Certified ICT Associate (HCIA) and Huawei Certified ICT Professional (HCIP) certification standards into our talent development framework, using real enterprise job tasks as the benchmark for comprehensive training. This creates a progressive path from knowledge acquisition to industry application (see Figure 2). At the same time, we have upgraded our labs to Huawei Ascend AI development environments where students work on real hardware for computing deployment and model training. Here, students tackle genuine industry problems on computing platforms that are fully aligned with what is used in the field (see Figure 3).

Figure 2: Student capability development pathway

Figure 2: Student capability development pathway

Figure 3: Hands-on project work with Atlas 200

Figure 3: Hands-on project work with Atlas 200

Learning through competition and forging skills in real-world challenges. We encourage students to take on real-world assignments within the Kunpeng ecosystem. By participating in high-level competitions such as the Huawei ICT Competition and the Kunpeng Competition, students are challenged to turn theory into practice. To date, student teams have completed four adaptation challenges involving domestic operating systems and AI frameworks. These competition experiences give students the skills and experience to solve real-world problems.

Guided by experienced teachers and aligned with industry frontiers. The Academy has sent core faculty members to gain hands-on experience at Huawei and form a team of dual-qualified instructors with HCIE and HCIP certifications. These instructors are qualified both as educators and industry professionals. They are not only educators in the classroom, but also guides for regional AI transformation. They bring enterprise-level AI projects directly back to the classroom to give students real-time exposure to the latest developments in the Huawei ecosystem.

Impact and results: A win-win for students, faculty, and the university

Through nearly five years of exploration, we have achieved a three-way win:

Figure 4: Cheng Weiye, now an AI engineer at a company in the Huawei ecosystem

Figure 4: Cheng Weiye, now an AI engineer at a company in the Huawei ecosystem

Student transformation: From campus learners to AI engineers. The journey of Cheng Weiye, a 2025 graduate, demonstrates the effectiveness of the "Anyang Model". In his sophomore year, Cheng had only a basic understanding of AI. But through the closed-loop training of the Huawei ICT Academy, he systematically studied AI technologies and earned his Huawei Certified ICT Expert (HCIE) certification, Huawei's top credential. With hands-on experience on the Kunpeng computing platform, he secured a job offer from a company in the Huawei ecosystem before graduating, completing his transformation into an AI engineer (see Figure 4).

At Anyang Institute of Technology, a new generation of AI talent is taking wing. In terms of coursework and certification, over 3,000 students have taken courses integrating Kunpeng, Ascend, and HarmonyOS technologies, with 403 earning HCIA to HCIE certifications and 713 obtaining HarmonyOS certification. As for competition and career outcomes, students have won a total of 156 Huawei-related competition awards at the provincial level and above, and 33 outstanding students have obtained direct employment in the Huawei ecosystem, where they turn their project capabilities into workplace skills.

Faculty transformation: From lecturers to dual-qualified experts. Our faculty team has moved beyond a purely research-focused mindset to embrace the integration of industry, academia, and research. The team now has one instructor with the HCIE certification and five with HCIP certifications across nine different specializations. They are not just teachers, but active participants and drivers of regional AI transformation.

Institutional transformation: From explorers to leaders. The university has been named an Outstanding ICT Academy and Outstanding ICT Academy for Foundational Software for three consecutive years. In December 2025, the university was officially elevated to Huawei's highest-tier ICT Academy designation — an Advanced Huawei ICT Academy.

Scaling up: A collaboration model that grows beyond itself

The value of the "Anyang Model" extends beyond its own success into the systematic, replicable pathway it has created. It has evolved from on-campus talent development to empowering the broader regional AI talent ecosystem.

Deepening internally and setting a benchmark for the closed loop: The university has reinforced AI learning pathways centered on the Kunpeng and Ascend ecosystems across other schools on campus. Case studies and presentations by outstanding students inspire more students to pursue AI technology with sustained enthusiasm.

Reaching outward and playing a leading role: The university hosted openEuler and Huawei Developer Space faculty training sessions in April 2025 and January 2026 respectively, reaching a total of 114 peer instructors. Anyang Institute of Technology is evolving from a participant into a leader. It is sharing its curriculum design, project-based training, and competition guidance to offer a talent development reference model for other institutions.

Future outlook: Deeper AI integration, joint ecosystem development

Building on its new status as an Advanced Huawei ICT Academy, Anyang Institute of Technology will deepen its strategic partnership with Huawei, moving the collaboration beyond talent development toward a broader ecosystem that integrates industry, academia, research, and innovation.

First, we will further integrate AI across disciplines. Leveraging the Ascend full-stack technology, we plan to launch "AI+X" micro-majors that structurally embed AI capabilities. This will cultivate interdisciplinary talent who understand both their core field and AI.

Second, we will build a collaborative innovation platform. We plan to upgrade our existing platform into a Joint Technology Innovation Center, using Ascend hardware and software to tackle the challenges in industry-specific application scenarios, bring real projects into the classroom, and thoroughly integrate industry, education, and research.

Third, we will expand into emerging technology frontiers. We will extend our collaboration to cutting-edge areas such as large language models and AI for Science. Forward-looking technology will be used to guide talent development and build a pipeline of high-end talent for the region's intelligent industrial transformation.

From 2020 to 2026, the "Anyang Model" has made the leap from zero to one in six years and is now moving toward replication and scaling, from one to many. Going forward, we will continue to refine the model, fostering an open and integrated talent development ecosystem that drives regional digital economic growth and builds local innovation capabilities from within.

Industry-Education Collaboration:
AI Talent Cultivation Through Partnership

Dr. Ng Kok Why

Dr. Ng Kok Why

Associate Professor & Deputy Dean, Faculty of Computing and Informatics (FCI), Multimedia University, Malaysia

Innovation Through Inclusion: Driving ICT Collaboration in the AI-Native Era

MMU partners with Huawei to bridge academia and industry, empowering educators, integrating AI certification, and driving Malaysia's talent future.

mmu campus

In the present digital landscape, we have moved beyond the digital transformation phase into the AI-native era. In this new era, artificial intelligence is no longer an add-on feature or a niche department; it is the fundamental architecture upon which future industries are built. This shift demands a radical reimagining of how we cultivate talent.

Malaysia is stepping confidently into the AI-native era, where AI is no longer an optional tool but the bedrock of innovation, productivity, and societal progress. Aligned with national blueprints like MyDIGITAL and Malaysia Digital, the country is pursuing a cohesive strategy to become a high-income, digitally-powered economy and regional leader. Central to this vision is the development of a future-ready workforce, supported by key initiatives such as the National AI Roadmap — aimed at cultivating 50,000 AI experts by 2030 — and the National 4IR Policy, which prioritizes broad digital upskilling. Through partnerships with global tech leaders and a focus on ethical, cross-sector, collaboration, these actions ensure Malaysia is building a resilient and adaptive talent pipeline — one that is capable of driving sustainable growth and maintaining competitiveness in an increasingly complex, AI-driven global landscape.

The role of Multimedia University in achieving Malaysia's vision

Figure 1: Multimedia University campus

Figure 1: Multimedia University campus

Multimedia University (MMU) was founded in 1996 as the first private university within Malaysia by Telekom Malaysia (TM) (see Figure 1), one of the country's largest telecommunications companies, which reflects its strong roots in the information and communications technology (ICT) sector. As the name suggests, MMU specializes in fields related to ICT, creative arts, multimedia, engineering (electronic, electrical, computer), and business management & law. The university places strong emphasis on industry-relevant education, applied research, and innovation, with strong links to global industries and professional bodies. Over the years, MMU has played a pivotal role in developing skilled talent for Malaysia's digital and knowledge-driven economy.

The advent of the AI-native era is fundamentally redefining the role of higher education. At MMU, we are responding by forging strategic partnerships with global technology leaders like Huawei to deeply integrate industry-relevant AI, cloud, and digital technologies across our engineering, business, and creative disciplines.

As AI is everywhere, future-ready talent must possess more than technical proficiency. They must also be capable of adaptive thinking, possess a strong ethical awareness, and be able to collaborate effectively with intelligent systems. Traditional educational models are no longer sufficient for this new reality. The university's commitment to excellence is championed by our academic leadership. As an Associate Professor and Deputy Dean at MMU's Faculty of Computing and Informatics, I am directly involved in advancing industry-aligned education. My recognition as a three-time Most Dedicated Instructor and First Prize winner in the 2025 Huawei ICT Teacher Competition underscores a dedicated focus on teaching quality and continuous professional development.

MMU is reimagining talent cultivation through a capability-driven approach that emphasizes interdisciplinary integration and lifelong upskilling. Leveraging our robust collaboration with Huawei and the strength of our academic community, MMU is uniquely positioned to nurture graduates who are aligned with Malaysia's national priorities and prepared to lead in an AI-driven global economy.

Bridging the divide: Integrated, industry-led learning is driving an essential mindset shift

The Huawei ICT Academy program is a transformative educational initiative designed to equip students with in-demand skills for the modern digital economy. It offers a comprehensive curriculum in high-impact technologies, including AI, big data, cybersecurity, cloud computing, and data communications. Moving beyond theory, these Huawei-certified courses are deeply aligned with real-world industry practices. This ensures learners gain not just academic knowledge, but the practical, hands-on technical skills employers actively seek. By integrating these modules into university programs, institutions bridge the critical gap between academic learning and industry expectations.

This approach does more than enhance a curriculum — it strategically inspires students to embrace professional learning pathways. While the digital age offers endless passive entertainment, structured exposure to these valuable skills within their academic journey cultivates a mindset of purposeful learning. The result is a generation of industry-ready graduates, equipped with recognized certifications and the agility to thrive in competitive, innovation-driven environments. Supported by committed university leadership, this collaboration elevates curriculum standards and transforms traditional education into a dynamic, future-facing experience.

A milestone achievement: MMU's elevation to IASC

In December 2024, MMU achieved a significant milestone in this partnership by being formally recognized as a Huawei ICT Academy Support Center (IASC). While MMU has been a valued Huawei ICT Academy since 2018, this new status marks a strategic evolution — from a teaching academy to a national hub. In this elevated role, MMU is now responsible for supporting, mentoring, and developing other Huawei ICT Academies across Malaysia, amplifying the program's impact nationwide. Within the first year of operation as IASC, MMU developed over 20 Huawei ICT Academies, enabled more than 70 teachers, and supported over 3,800 students in Malaysia.

Approach to skill transformation

At the MMU both as Huawei ICT Academy and IASC, our primary focus is the instructors. We firmly believe that to transform students, we must first empower educators. Accordingly, our initiatives are strategically designed to ensure instructors are not only familiar with Huawei technologies, but capable of delivering them with professional depth and industry relevance.

Instructor capability development

We deliver rigorous, advanced technical training that goes beyond foundational knowledge, covering openGauss, AI, cybersecurity, and data communications professional-level courses. With dozens of trainings delivered and more than 160 teachers trained and enabled, we empower instructors to teach with confidence and real-world applicability.

"Register-to-Professional" Pipeline

Through targeted internal workshops at MMU, we guide instructors on transitioning students from entry-level learners to industry-ready professionals. The primary purpose is to bridge the gap between academic theory and industry needs, ensuring students possess the practical skills required by employers. The success of this pipeline is reflected in our outcomes: More than 85% of students have successfully followed and completed their formal professional studies.

Industry course integration into university curriculum

Huawei ICT Academies are upgrading their mission beyond basic technical delivery to become a comprehensive ecosystem for cultivating industry-ready talent. By directly integrating Huawei's professional courses like HCIA–AI into degree programs (see Figure 2), instructors ensure student development is synchronized with the real-world demands of the intelligent era. This goes beyond theory and students gain hands-on experience on the platforms used in global data centers, building the specialized AI competencies that global enterprises demand. This deep integration transforms our instructors into strategic career architects. When one instructor is empowered with this expertise, they create a direct pathway for hundreds of students to earn industry-recognized certifications like the Huawei Certified ICT Associate (HCIA) and become the next generation of ICT leaders.

Figure 2: Sample AI course mapping

Figure 2: Sample AI course mapping

Our team of instructors consisting of Dr. Prabha Kumaresan, Assoc. Prof. Dr. Ho Sin Ban, Ts. Dr. Lee Fong Yee, and Assoc. Prof. Dr. Ng Kok Why did not just learn the curriculum; they integrated Huawei's professional courses into the very fabric of MMU's degree programs and were awarded the Most Dedicated Instructor award at the Huawei ICT Award Ceremony 2025 (see Figure 3).

Figure 3 Most Dedicate Instructor Award – 2025”

Figure 3 Most Dedicate Instructor Award – 2025

Driving collaboration: Beyond networking

Collaboration is often misunderstood as mere "networking". As an IASC, we view it as a structured mutual support system. MMU works with other academies to support the cultivation of AI knowledge. We facilitate a collaborative environment where best practices in machine learning and deep learning are shared across universities. This collective effort ensures that AI curricula are not taught in isolation but are part of a standardized, quality framework that meets industry benchmarks. The partnership model scales the impact of AI education, rapidly building a talent pool that is ready to lead the digital transformation of the economy. MMU has proactively extended its impact beyond its own campus by providing strategic support to other higher education institutions: Xiamen University Malaysia, University of Kuala Lumpur, SEGi University, and INTI International College Penang.

Under this initiative, Huawei-certified instructors from MMU guided these partner institutions in the seamless integration of Huawei's HCIA professional certifications — including HCIA-AI, HCIA-Security, and HCIA-Data Communications (DataCom) — into their academic programs. This collaborative effort resulted in 247 students across the partner institutions enrolling in the integrated certification courses, demonstrating the effectiveness and scalability of MMU's IASC model. IASC acts as a central node for collaboration through several key initiatives:

  1. Teacher Summits: One of our most impactful activities is the Teacher Summit. These gatherings are more than just administrative meetings. They are "clinics" for pedagogical challenges. Instructors share the difficulties they face — ranging from student engagement to personal professional certification. This honest dialogue allows us to find collective solutions, ensuring no academy is left behind.
  2. Mutual Support Systems: Through our workshops, we foster a culture where veteran instructors mentor newcomers. This peer-to-peer support network ensures that the ecosystem is resilient and self-correcting.
  3. Cross-Institutional Synergy: By gathering instructors from diverse regions, we break down silos. A breakthrough in a classroom in one city can be shared and implemented in another the following week.

During our recent Summit at the Parkroyal A'Famosa, we gathered over 40 educators from institutions like City University, HELP University, and SEGi University (see Figure 4). The goal was to address a common difficulty: How do we keep students engaged with complex AI concepts when the technology changes every month?

Figure 4: Huawei Instructor Summit 2025

Figure 4: Huawei Instructor Summit 2025

The Collaborative Solution: Through panel discussions moderated by our experts, we co-created a "Curriculum Integration Roadmap". MMU instructors shared their success recipes — specific techniques for using Huawei's technology and to give students hands-on experience. By sharing these best practices, we ensured that a lecturer from a smaller college had the same tools and strategies as a professor from a large university. This is collaboration in its purest form: reducing the digital divide through shared intellectual capital.

Co-creating value: Turning competition into innovation incubators

The ultimate measure of a talent ecosystem is the value it produces. At MMU, this value is co-created through initiatives such as webinars and the Huawei ICT Competition. These activities are more than events — they act as incubators of innovation and applied learning.

  • Motivation through sharing: Our webinars connect students with past winners and industry experts, providing inspiration and practical insights. This encourages learners to move beyond the syllabus and apply their knowledge to address real-world, regional challenges.
  • Huawei ICT Competition: When students participate in these high-level competitions, they are truly co-creating value. Using Huawei's technologies and guidance from MMU instructors, students develop prototypes and solutions with the potential to become startups or industrial patents.

The impact of this ecosystem is most visible during the Award Ceremony, which serves a dual purpose: recognizing excellence and showcasing tangible outcomes. Witnessing students receive professional certifications or competition awards demonstrates the ecosystem's effectiveness and signals to the industry the emergence of high-caliber, job-ready talent.

In December 2025, MMU teams received Second Runner-Up awards in two critical tracks at the national level of the Huawei ICT Award Ceremony (see Figure 5):

Figure 5: Huawei ICT Award Ceremony 2025

Figure 5: Huawei ICT Award Ceremony 2025

  • Cloud Track: Team members Do Wai Lung, Sumedha Endar, and Fernando Lim Jia Yee, mentored by Ts. Dr. Goh Pey Yun.
  • Computing Track: Team members Koay Yee Shuen, Muhammad Ameer Rafiqi, and Chew Wei Zhi, mentored by Assoc. Prof. Ts. Dr. Ho Sin Ban.

These students did more than win trophies — they demonstrated "job-ready" competencies. Competing against 1,900 students from 43 institutions, they proved that the ecosystem functions effectively. Value is co-created: Huawei provides the technology, the IASC provides guidance, and students provide innovation. The result is graduates who are not merely job seekers, but value creators ready to drive Malaysia's MyDIGITAL ambitions.

Conclusion: From support center to regional hub with a future-ready vision

As we look toward 2026 and beyond, the IASC at MMU is committed to evolving alongside AI. We are moving from being a support center to becoming a regional hub for ASEAN ICT talent development. By continuing to reshape skills, drive collaboration, and co-create value, we ensure that the AI-native era is not a challenge to be feared, but an opportunity to be seized.

MMU extends its sincere gratitude to Huawei Malaysia for its recognition of our instructors' dedication to advancing professional ICT education. This accolade celebrates their pivotal role in integrating industry-certified Huawei courses into academic programs, guiding students toward high-value certifications, and sharing best practices with peer institutions. This validation powerfully motivates our educators to continue their exceptional work in shaping future-ready graduates.

Inspired by this partnership, MMU instructors are driven to enhance teaching methodologies, expand outreach, and pioneer curriculum innovations that directly meet industry demands. This commitment to excellence is further demonstrated by their award-winning performances in regional teaching competitions, where they showcase high-impact instructional strategies.

Collectively, these achievements reinforce MMU's leadership in building a dynamic, industry-aligned educational ecosystem in Malaysia.

Industry-Education Collaboration:
AI Talent Cultivation Through Partnership

Kateregga Daniel

Kateregga Daniel

IT Product Manager, Huawei Certified Instructor, Makerere University, Uganda

Seeds of Intelligence: Cultivating Uganda's AI Talent in a Connected World

From modest beginnings to shaping a nation's AI future: One partnership proves local talent needs only the right soil to grow.

The digital dawn: Why Uganda is the new frontier for AI

In the vibrant heart of East Africa, a digital revolution is no longer a distant prospect — it is the current reality. As Uganda pursues its ambitious National Development Plan and Vision 2040, the traditional ICT landscape is being swept away by an AI-native tide. This is not merely a shift in software; it is a fundamental restructuring of how a nation thinks, produces, and competes. Today, demand for high-end skills in artificial intelligence, big data, and data communications has moved from a competitive advantage to a necessity for national survival.

At Makerere University — Uganda's premier institution established in 1922 — the Huawei ICT Academy has become the cornerstone of this transformation. My journey, from a student with a modest background to a Most Valuable Instructor (MVI) and a Huawei certified instructor, is testament to the power of a structured, industry-aligned talent ecosystem. My story is one of how a localized approach to global technology can ignite the latent potential of an entire generation.

Figure 1: Kateregga Daniel (far-right) with Makerere University Vice-Chancellor (4th-right) and Huawei Uganda Deputy-Director (5th-right) flagging off the top winners of Huawei ICT Competition 2022–2023 for the Global Final in China

Figure 1: Kateregga Daniel (far-right) with Makerere University Vice-Chancellor (4th-right) and Huawei Uganda Deputy-Director (5th-right) flagging off the top winners of Huawei ICT Competition 2022–2023 for the Global Final in China

Makerere University: The cradle of innovation

Established in 1922, Makerere University is Uganda's largest and oldest institution of higher learning. As a premier research-led university in Africa, it serves as the academic heartbeat of the region, currently hosting over 35,000 students. The College of Computing and Information Sciences at Makerere has consistently been at the forefront of digital transformation, striving to produce graduates who are not just job seekers, but innovators capable of steering Uganda into the Fourth Industrial Revolution.

A journey of excellence: The Huawei-Makerere collaboration timeline

The partnership between Huawei and Makerere University is a cornerstone of Uganda's ICT development. Since Makerere officially became a Huawei ICT Academy in 2019, their journey together has been marked by several key milestones:

  • 2019 – The Foundation: Establishment of the physical lab infrastructure and the first wave of Train the Trainer (TTT) programs.
  • 2020–2021 – Resilience: Transition to hybrid learning during global shutdowns, ensuring that AI and Datacom certification tracks remained uninterrupted.
  • 2022–2023 – Global Recognition: Makerere students achieved golden era status, consistently reaching the Global Finals in China and winning the Grand Prize at the Southern Africa Regional Final in 2023.
  • 2024–2026 – The AI-Native Shift: Transitioning the focus toward advanced AI and cloud computing. This era is defined by the rise of home-grown experts; notably, my own progression to becoming a Huawei certified instructor.

From education to employment

The ultimate success of our talent cultivation model is evidenced by the seamless transition of our students into the professional workforce. It is estimated that over 350 Makerere University students have been absorbed into the ICT industry through the Huawei ecosystem.

Figure 2: Statistics on our graduates entering the ICT industry through the Huawei ecosystem since the partnership began

Figure 2: Statistics on our graduates entering the ICT industry through the Huawei ecosystem since the partnership began

Reshaping the skillsets: The technical architecture of success

In the AI-native era, the digital divide is being replaced by the knowledge divide. To bridge this, we moved beyond the elementary. My immersion into the Huawei ecosystem was a deep dive into the engines of the future: Huawei Certified ICT Associate – Artificial Intelligence (HCIA-AI), HCIA-Big Data, and Huawei Certified ICT Professional – Datacom (HCIP-Datacom).

We moved from teaching "connectivity" to teaching "intelligence". In my labs, students don't just learn about networks; they learn how to build self-healing infrastructures using AI-driven network management. We have explored the MindSpore framework, demonstrating how deep learning can be applied to local datasets — whether it be optimizing crop yields in rural Uganda through computer vision or predicting traffic patterns in the bustling streets of Kampala using big data analytics.

The results of this rigorous training were remarkable. By 2023, our ecosystem didn't just compete; it conquered. Witnessing my students — the seeds I helped nurture — clinch the Grand Prize in the Southern Africa Regional Final and advance to the Global Final in China was a moment of profound realization. It proved that the talent in Uganda is not inferior; it was simply waiting for the right "soil" to grow.

As a Huawei certified instructor, I have the unique responsibility of ensuring that the next generation of experts meets Huawei's highest global standards. This role bridges the gap between learning and professional mastery, ensuring that Ugandan talent is recognized as expert-level worldwide.

Figure 3: The Makerere University team won the Championship in the Computing Track at the Huawei ICT Competition Southern Africa Regional Final 2023 and advanced to the Global Final

Figure 3: The Makerere University team won the Championship in the Computing Track at the Huawei ICT Competition Southern Africa Regional Final 2023 and advanced to the Global Final

Innovative academia-industry collaboration: Co-creating value

The Makerere Model of collaboration is unique because it is an active ecosystem, not a passive partnership. We have integrated Huawei's professional certification tracks directly into the university's degree programs, solving a major problem faced by many African graduates: the experience gap. By the time our students graduate, they are not just degree holders; they are industry-certified professionals ready to deploy AI solutions on day one.

This collaboration also extends into Collaborative Resource Development. We worked closely with Huawei engineers to adapt global case studies into localized contexts. We analyzed how Huawei's Atlas AI Computing Platform could be used to solve challenges within Uganda's energy sector, providing students with a sense of purpose that transcends the classroom. We aren't just teaching them how to code; we are teaching them how to solve real problems for Uganda.

The great transition: The multiplier effect of leadership as an MVI

The most sustainable way to architect a national talent ecosystem is to ensure that success breeds success. This is the core philosophy that guided my transition from a high-achieving student to a leader in the academic space. In recognition of my commitment to technical mastery and pedagogical innovation, I was honored with the title of Most Valuable Instructor (MVI) at Makerere University. This was not merely a title, but a mandate to lead. It marked the moment my role shifted from mastering technology to mastering the transfer of technology at a systemic level.

As an MVI, I realized that for Uganda to truly thrive in the AI-native era, we needed more than just certified students — we needed a faculty empowered with high-end practical skills. To achieve this, I initiated a series of Advanced Instructor Masterclasses at Makerere University. These sessions were designed to equip fellow instructors with the hands-on, industry-standard expertise required to navigate complex AI frameworks and cloud-native architectures.

Figure 4: In January 2024, Kateregga Daniel delivered a TTT session for university lecturers, presenting the 'Teaching Reform' and 'Collaborative Resource Development' modules under the Huawei technology framework

Figure 4: In January 2024, Kateregga Daniel delivered a TTT session for university lecturers, presenting the "Teaching Reform" and "Collaborative Resource Development" modules under the Huawei technology framework

By conducting these masterclasses and Train the Trainer (TTT) sessions for seasoned university lecturers, we created a powerful multiplier effect. By empowering a single instructor, we were indirectly injecting cutting-edge knowledge into the learning journeys of hundreds of students. As an MVI, my focus remains anchored on three AI-native pillars:

  • The expertise upgrade: Moving beyond basic networking to master the deep logic of neural networks, ensuring our faculty can teach the "why" behind AI.
  • The masterclass series: Bridging the gap between academic theory and industry reality through rigorous, hands-on practical simulations for fellow educators in all Ugandan universities.
  • Real-world application: Facilitating Hackathons where instructors and students collaborate to use AI to solve real-world problems presented by local Ugandan NGOs and government agencies.

Collaborative perseverance: Turning barriers into digital bridges

The road to an AI-native Uganda is paved with significant hurdles. Many of our most brilliant students face limited access to high-end physical hardware. Others struggle with the double-burden of pursuing a university degree while simultaneously studying for rigorous professional certifications.

To combat this, we developed a model of Collaborative Perseverance.

  • Virtualization over physicality: We maximized the use of Huawei's cloud-based virtual labs (eNSP and Cloud-Lab), allowing students to simulate complex networks on modest laptops.
  • Time-management ecosystems: We established peer-to-peer study groups and time-management workshops that helped students integrate certification paths into their academic schedules without burnout.
  • Administrative support: The Uganda Huawei Academy Administration acted as a crucial catalyst, providing the logistics and moral support needed to keep students motivated throughout the most challenging modules of the HCIP-Datacom track and HCIE tracks.

The social value: Beyond the numbers

While the data — higher employment rates, global competition wins, and certification numbers — is impressive, the true social value lies in the transformation of identity. I have seen students from rural villages realize that they can compete with the best engineers in the world. This psychological shift is the most profound impact of the Huawei ICT Academy. We are cultivating a sense of Digital Sovereignty in Uganda — the belief that we can build our own intelligent systems rather than just consuming those built elsewhere.

Vision for 2026: Scaling the AI ecosystem to the last mile

As we look toward the remainder of 2026 and onto 2030, our mission must be to scale and democratize. The success at Makerere University can serve as a beacon for other institutions.

  • Regional expansion: We aim to take the Makerere Model to regional universities in Mbarara, Gulu, and Mbale, ensuring that — in Huawei's words, "bringing digital to every person" — is not just a slogan, but a reality for every Ugandan.
  • AI for Good: We are focusing on developing AI-native solutions for Uganda's healthcare system and using predictive analytics to better manage medical supply chains in remote areas.

Conclusion: A call to the architects of tomorrow

My journey from the classroom to the instructor's podium at Makerere University is just a single thread in a beautiful tapestry of African innovation. My message to the youth of Uganda and the wider Huawei talent ecosystem is simple: The AI-Native era is your canvas.

The tools for global excellence — the labs, the certifications, and the global competitions —are now within your reach. We are no longer just learning about the future; we are actively building it. Through the Huawei ICT Academy, we are co-creating a smarter, more connected, and more equitable world. Let us continue to plant the seeds of intelligence today so that the entire continent can harvest the rewards of the digital era tomorrow.

Industry-Education Collaboration:
AI Talent Cultivation Through Partnership

Prof. Michel Coura Dias

Prof. Michel Coura Dias

Faculty Member, University Rectorate, Instituto Federal da Paraíba (IFPB), Brazil

From Campus to Cloud: How IFPB and Huawei Are Building Brazil's Inclusive AI Talent Pipeline

The AI era demands more than theoretical knowledge. In Brazil, a public institute and a tech leader are showing how partnership builds real talent.

The AI-native era is not approaching; it is here. This transformative period is defined by the deep integration of artificial intelligence into the very fabric of traditional industries, a shift that is fundamentally reshaping the global economy. As reports from firms like PwC confirm, sectors from professional services to manufacturing are rapidly adopting AI, creating urgent and unprecedented demand for a new generation of skilled talent.

This paradigm shift represents more than a simple skill gap. As analysis from McKinsey suggests, it is a fundamental evolution in human ability, where AI can "lower skill barriers" and "shift the way people access and use knowledge". Yet, with nearly half of business leaders identifying a lack of skilled personnel as a major barrier to AI adoption, it is clear that our educational models must evolve beyond theoretical instruction to cultivate practical, industry-aligned competencies.

The most effective approach to tackling this challenge is through a strategic partnership between academia and industry. Decades of collaboration among industry, universities, and government have shown that these partnerships are essential for accelerating knowledge transfer, encouraging practical innovation, and building a sustainable talent pipeline. By integrating industry standards, tools, and real-world challenges into academic programs, these partnerships ensure educational outcomes are not only rigorous, but directly relevant to the complexities of the modern digital workforce.

In Brazil, the Federal Institute of Education, Science and Technology of Paraíba (Federal Institute of Paraíba, IFPB) exemplifies this collaborative model as a pioneering institution. Our partnership with the Huawei ICT Academy is a strong example of bridging academic theory with industry practice. This collaboration is more than just an agreement; it is a dynamic ecosystem aimed at developing the next generation of ICT leaders, as IFPB's Innovation Pole Director, Erick Melo, states: "It is essential to have a partnership with one of the leading companies in the ICT market worldwide. It allows us to transfer parts of the technologies developed within the Huawei research centers to our students through innovation projects and the ICT Academy. Participating in Huawei's talent ecosystem also increases the competitiveness of our students in the face of new opportunities in the job market."

This article explores how the IFPB–Huawei partnership serves as a blueprint for the future of technology education. We will look at how this alliance reshapes skills through competition, drives innovation by integrating advanced technology into learning, and, most importantly, co-creates unique social value through a steadfast commitment to an inclusive talent ecosystem.

About IFPB — Public excellence in technological education

IFPB is a public institution of technical and higher education in Brazil dedicated to citizenship-focused learning and sustainable regional development. With campuses across multiple cities in the state of Paraíba, IFPB is part of Brazil's Federal Network for Vocational, Scientific, and Technological Education. The institute stands out nationally for its leadership in key areas such as information technology, engineering, automation, and AI. Known for its strong commitment to social inclusion, applied research, and academic excellence, IFPB has become a reference in initiatives that integrate education with technological innovation.

Reshaping skills through competition: A new pedagogical frontier

In the high-stakes fields of AI and cloud computing, education must extend beyond the lecture hall. A powerful strategy for achieving this is the use of competition as a pedagogical tool. The Huawei ICT Competition is not merely a contest but an innovative model of "coopetition" — a framework where cooperation and competition converge to drive excellence. This approach immerses students in an environment that demands practical problem-solving, resilience under pressure, and collaborative teamwork, mirroring the real-world dynamics of the technology industry. More profoundly, coopetition is a strategic alliance for innovation. It goes beyond a simple contest to generate knowledge through "the combination of skills", reduce the "risks and uncertainties related to technological challenges", and shorten the "time for the introduction of innovations to the market".

The success of this model at IFPB has been demonstrated by our students' extraordinary achievements on the global stage: five participations in global finals, two Grand Prizes, two First Prizes, two Second Prizes, and two Third Prizes in different tracks, like Cloud Computing, Innovation, and Network.

Figure 1: Gabriel Gutierrez, former Grand Prize Winner of the Huawei ICT Competition, currently serves as a Technical Account Manager at Huawei Cloud, helping customers and partners deploy AI and cloud solutions

Figure 1: Gabriel Gutierrez, former Grand Prize Winner of the Huawei ICT Competition, currently serves as a Technical Account Manager at Huawei Cloud, helping customers and partners deploy AI and cloud solutions

One of the most compelling demonstrations of how competition-driven learning translates into real-world impact is the trajectory of Gabriel Gutierrez, Global Champion of the Huawei ICT Competition 2021–2022 in the Cloud Computing Track (see Figure 1). Following his success in the competition, Gabriel transitioned directly into the Huawei ecosystem and today serves as a Technical Account Manager at Huawei Cloud Brazil, where he helps customers and partners deploy Pangu, Huawei's AI foundation model. His journey exemplifies how high-level academic training combined with competitive, industry-aligned challenges can accelerate the transformation of students into highly skilled professionals contributing to advanced AI solutions in production environments.

Beyond individual success stories, the scale of IFPB's impact is equally significant. Over the years, more than 5,000 individuals have been trained using Huawei ICT Academy resources at IFPB. These resources have not only supported student certification and competition preparation, but have played a strategic role in modernizing the curricula of multiple ICT programs, particularly in areas such as 5G networks, AI, cloud computing, and optical communications. This continuous curricular renewal ensures that teaching remains aligned with the rapid evolution of the ICT industry, reinforcing IFPB's role as a key contributor to Brazil's AI-ready talent pipeline (see Figure 2).

Figure 2: Infographic illustrating the strategic partnership between IFPB and Huawei, highlighting the impact on AI talent development in Brazil. Source: Image generated by the author with the assistance of AI tools

Figure 2: Infographic illustrating the strategic partnership between IFPB and Huawei, highlighting the impact on AI talent development in Brazil. Source: Image generated by the author with the assistance of AI tools

These victories are particularly significant when considered against the immense scale of the competition. The program annually draws participation from students and educators across over 100 countries and regions, involving more than 2,000 universities and colleges. Reaching the 2024 global finals meant outperforming a vast international field, with 161 elite teams from 49 countries and regions qualifying for the final stage in Shenzhen (see Figure 3).

Figure 3: IFPB students from the Huawei ICT Academy competing in the Huawei ICT Competition Global Final

Figure 3: IFPB students from the Huawei ICT Academy competing in the Huawei ICT Competition Global Final

This level of achievement is a direct result of a strategic, multi-layered approach to talent development. Central to this strategy is the internal "IFPB ICT Competition". This local precursor serves as our proving ground, democratizing access to high-level training for a broad student population. It functions as a meritocratic crucible where raw talent is forged into world-class expertise. In this arena, we identify emerging talent, rigorously prepare teams for the national and regional stages, and build a deep bench of skilled competitors.

By simulating the pressures and technical challenges of the global event, we cultivate not only technical proficiency, but also the strategic thinking and collaborative spirit necessary to succeed at the highest level. Ultimately, this competitive framework is a new pedagogical frontier. It redefines the learning process by seamlessly connecting classroom knowledge to real-world application, compelling students to test their skills against the best in the world and preparing them to become the architects of our technological future.

Ecosystem in action: Integrating industry technology into the classroom

The AI era demands significant teaching reform. To prepare students for a rapidly evolving job market, it is no longer sufficient to teach abstract concepts; we must integrate the specific tools, platforms, and methodologies that define the modern technology landscape. The partnership between IFPB and the Huawei ICT Academy is built on this principle, creating a fluid channel through which industry innovation flows directly into our curriculum.

Figure 4: Students engaged in activities at the IFPB Huawei ICT Academy

Figure 4: Students engaged in activities at the IFPB Huawei ICT Academy

By integrating Huawei's courses into subjects like AI, we expose students to a professional environment and ensure they are consistently updated on the latest market advances. This integration goes far beyond theoretical lectures. Our students gain extensive hands-on experience by applying Huawei’s advanced technology stack to develop tangible, innovative projects (see Figure 4). This practical application is where deep learning occurs and where students truly begin to think like industry professionals.

Concrete examples of this synergy are abundant in our students' work, particularly in projects developed for the Huawei ICT Competition:

  • Huawei Ascend AI: Students leverage the Ascend ecosystem to build robust hardware foundations for their AI applications. This exposure to a comprehensive hardware and software platform — designed for high-performance AI computation — is critical for understanding how intelligent systems are deployed at scale in enterprise environments.
  • Huawei MindSpore: This all-scenario AI framework is a cornerstone of our practical training. Mastering a full-stack AI framework like MindSpore allows students to understand the entire development lifecycle from initial model training to final deployment on an IoT device. A prime example is the "FollowU" project — an intelligent tracking buggy developed by a previous winning team — which used a target detection model trained with MindSpore to solve complex challenges in object recognition and autonomous control.
  • Cloud and computing technologies: Our students master a suite of powerful, industry-standard technologies essential for modern cloud environments, as these are the de facto standards for cloud-native application deployment and management. The Computing Track curriculum equips them with expertise in platforms and tools such as openEuler, openGauss, Docker, and Kubernetes. Expertise in these tools means graduates are prepared to architect, deploy, and manage the complex, containerized, and virtualized infrastructures that power today's digital economy.

By deeply embedding Huawei's technology stack into our academic programs, we ensure that IFPB graduates possess more than just theoretical knowledge. They emerge with a portfolio of practical skills and a profound understanding of the tools and systems that are shaping industries worldwide. Our students are not merely prepared for the workforce; they are primed to become high-value contributors from their very first day on the job.

Co-creating social value: A commitment to an inclusive AI talent pool

Technical mastery alone is insufficient to build a sustainable technology future. The true measure of a high-impact talent ecosystem lies in its ability to co-create social value, transforming technological progress into a force for comprehensive and inclusive growth. A truly advanced ecosystem cannot be measured by technical output alone; it must also be judged by its commitment to ensuring that the opportunities of the digital economy are accessible to all.

At IFPB, we have made this principle a cornerstone of our partnership with Huawei. Our mission extends beyond cultivating elite competitors; we are dedicated to fostering an inclusive learning environment that empowers a diverse student body. The Huawei talent ecosystem provides a uniquely effective framework for this mission. The structured and well-defined nature of the ICT Academy curriculum, with its objective-based modules, and the transparent goals of the ICT Competition create a predictable and supportive learning environment. This clarity of purpose and process allows diverse individuals and learning styles to thrive, breaking down barriers that might exist in more ambiguous educational settings.

Figure 5: 'Women in Tech' initiative, an internal competition at IFPB featuring a track dedicated to women

Figure 5: "Women in Tech" initiative, an internal competition at IFPB featuring a track dedicated to women

One example is our "Women in Tech" initiative (see Figure 5), a dedicated track in the internal "IFPB ICT Competition" which encourages female students to pursue ICT careers.

This commitment aligns directly with a core objective of the Huawei ICT Competition, which explicitly aims to "promote equal access to quality education and global digital inclusion". By providing these structured pathways to high-tech skills, we are actively co-creating value that transcends the purely economic. We are empowering individuals who might otherwise be overlooked, enriching their lives and futures with opportunities in a high-demand field. In doing so, we are also injecting the technology industry with a diversity of perspectives — an essential ingredient for developing the kind of fair, accountable, and transparent AI systems that society needs.

This approach proves that social inclusion is not an auxiliary goal or an afterthought; it is a core competitive differentiator. An inclusive talent pipeline is a more resilient, creative, and innovative one. By intentionally designing our programs to be accessible, we are building a more robust talent ecosystem for Brazil and demonstrating a model where technological advancement and social progress are inextricably linked.

Conclusion: A blueprint for the future

The strategic partnership between the Federal Institute of Paraíba and the Huawei ICT Academy has forged a successful, replicable, and forward-looking blueprint for AI talent development. It is an ecosystem that proves when academia and industry collaborate with a shared vision, the result is far greater than the sum of its parts. It is a model that prepares students not just for jobs, but for impactful careers as innovators and leaders in the digital economy. Its success is built on a powerful formula: world-class technical skills — honed through elite competition and a curriculum integrated with cutting-edge industry technologies — fused with a profound commitment to social inclusion, creating a sustainable and high-impact talent ecosystem. This approach has enabled IFPB to produce globally recognized talent while simultaneously building a more equitable foundation for the future of technology in Brazil.

As we look ahead, the potential of this partnership to serve as a model for other educational institutions — both within Brazil and around the world — is immense. By uniting our efforts, we are not just teaching technology; we are building the very "Connection, Glory, and Future" of the AI-native world.

Industry-Education Collaboration:
AI Talent Cultivation Through Partnership

Dr. Ahmed Ali Otoom

Dr. Ahmed Ali Otoom

Cybersecurity & Cloud Computing Department, Applied Science Private University, Jordan

The ASPU–Huawei ICT Academy Experience: Forging Jordan's AI-Ready Workforce

AI is reshaping ICT, widening the gap between theory and practice. The ASPU–Huawei partnership bridges this divide through a closed-loop talent ecosystem.

The transition to the AI-native era is reshaping the global ICT landscape and redefining the competencies required of future professionals. Artificial intelligence is now embedded across cloud computing, networking, data platforms, and cybersecurity, fundamentally changing how digital systems are designed, deployed, and secured. As a result, employers increasingly expect graduates to operate confidently in AI-enabled and security-sensitive environments, rather than merely possessing theoretical knowledge.

This shift is requiring ICT professionals to develop hybrid competencies that combine strong technical foundations with AI awareness, data literacy, and security-by-design principles.

Despite these evolving requirements, significant challenges remain in ICT talent development. Many traditional curricula are still theory-oriented and slow to adapt to rapid technological change, limiting students' exposure to enterprise-grade platforms and real-world deployment scenarios. Graduates also often lack practical experience with AI-enabled systems, modern cybersecurity tools, and integrated cloud infrastructures, creating a gap between academic study and industry expectations. This gap limits graduate employability, reduces workforce readiness, and increases onboarding and reskilling costs for employers.

Consequently, higher education institutions face growing pressure to modernize curricula and align learning outcomes with industry needs. To address this, universities are increasingly adopting academia–industry collaboration as a strategic approach to deliver relevant, practice-oriented, and future-ready ICT education.

ASPU and Huawei ICT Academy partnership

Applied Science Private University (ASPU) was established in 1989 in Amman, Jordan, and is one of the country's pioneering private universities. It has grown from three faculties into 12, and offers 59 programs at the bachelor's, master's, and higher diploma levels. The university offers strong academic and student services, including deanships for scientific research and graduate studies. ASPU emphasizes practical, industry-linked education alongside solid theoretical foundations. It holds a prominent position both locally and internationally, supplying various sectors with highly qualified graduates who meet real-world labor market needs. The university holds multiple prestigious accreditations, including ACPE, AACSB, ACEN, AFN, HCÉRES, and ISO 9001, and ranks highly in both the Times Higher Education and QS rankings, earning multiple five-star ratings. With a future-focused vision, ASPU continues to lead the way in quality education, innovation, and global engagement.

Huawei ICT Academy plays a strategic role in addressing ICT talent challenges by serving as a bridge between academia and industry. The program provides universities with access to up-to-date curricula spanning AI, cloud computing, cybersecurity, databases, and networking, all aligned with emerging industry trends and demands.

Beyond course content, the academy emphasizes experiential learning through hands-on laboratories, simulations, and real-world scenarios. Students gain exposure to enterprise-grade technologies while preparing for internationally-recognized certifications. In parallel, instructors benefit from continuous professional development opportunities, enabling them to stay abreast of emerging technologies and effective pedagogical approaches.

In line with the university' s vision, ASPU formalized its collaboration with Huawei in 2024 through a memorandum of understanding (see Figure 1) focused on ICT talent cultivation. This partnership established a foundation for sustained curriculum integration and practical, industry-aligned learning.

Figure 1: H.E. Prof. Samiha Jarrah, ASPU President, signing the MoU with H.E. Mr. Adam Zhang, CEO of Huawei Jordan, during the ICT Talents Cultivation MoU Signing Ceremony, Amman, Jordan on August 8, 2024

Figure 1: H.E. Prof. Samiha Jarrah, ASPU President, signing the MoU with H.E. Mr. Adam Zhang, CEO of Huawei Jordan, during the ICT Talents Cultivation MoU Signing Ceremony, Amman, Jordan on August 8, 2024

A collaborative talent ecosystem framework

To ensure continuous alignment between educational outcomes and market needs, a collaborative talent ecosystem framework was adopted. The framework is built around a closed-loop Academia-Industry-Student model that targets curriculum relevance, skill development, and sustainable talent cultivation (see Figure 2). This closed-loop model enables continuous value co-creation, where academic quality, industry relevance, and student outcomes reinforce one another. This ecosystem is further energized by dual certification pathways, where students earn both academic credit and Huawei's globally recognized professional certifications. This dual validation directly quantifies skill mastery and significantly enhances graduate employability and mobility.

Figure 2: An Academia–Industry–Student collaborative talent ecosystem

Figure 2: An Academia–Industry–Student collaborative talent ecosystem

Within this model, academia is responsible for curriculum integration, pedagogical quality, and student mentoring. Meanwhile industry, as represented by Huawei ICT Academy, provides platforms, certifications, hands-on laboratories, and insights into emerging technologies and workforce trends. Students actively engage through applied learning, certification pathways, competitions, and ambassador initiatives, generating feedback that continuously informs curriculum refinement and program improvement.

Curriculum reform and integration

As part of its strategy to enhance graduate employability and industry relevance, ASPU integrates Huawei ICT Academy courses, including AI and cybersecurity, into its curriculum. These courses are carefully selected to align with market demand, regional workforce needs, and the convergence of intelligent systems and cybersecurity requirements.

The integration of Huawei ICT Academy content has prompted a significant shift from lecture-centered teaching to practice-driven, experiential learning. Students now engage in hands-on activities, such as configuring enterprise-grade firewalls in simulated environments, which makes theoretical principles tangible and enhances problem-solving skills.

To implement this transformation, ASPU adopted two approaches. With the embedded model, selected courses contribute to 10% of the total assessment and are integrated into university subjects, such as Overview of IoT Technologies in Special Topics in Cybersecurity. Students complete these courses via the ICT Academy platform, with instructors providing support as needed. With the open-access model, courses like Overview of AI, HCIA-AI V4.0, and HCIA-Security V4.0 are offered independently, allowing broader participation and self-directed learning. Together, these approaches enable students to build AI- and security-related competencies across different stages of their academic journey.

ASPU's strategy has positioned it as a leading institution in industry-aligned ICT education in Jordan. In 2025, over 400 students actively participated in Huawei ICT Academy courses, reflecting high engagement, instructional effectiveness, and the viability of a practice-oriented, industry-integrated curriculum.

Figure 3: Global recognition with First Prize in Huawei ICT Competition 2024–2025 – Teaching Competition

Figure 3: Global recognition with First Prize in Huawei ICT Competition 2024–2025 – Teaching Competition

Huawei ICT Academy also served as a professional development enabler for instructors by providing access to up-to-date courses, tools, and industry-grade platforms. Through this ecosystem, instructors can enhance their technical expertise and adopt modern instructional methodologies that align with industry needs. Drawing on these resources, Dr. Otoom developed a specialized course titled Permissions and Role Management – A Practical Approach using openEuler, openGauss, and Data Studio. This course was later submitted to the Teaching Competition Track of Huawei ICT Competition 2024–2025. The effectiveness of this instructional approach was validated at the global level, where the submitted course was evaluated by an international panel and awarded First Prize (see Figure 3). This recognition serves as external validation of the course's instructional quality and global relevance.

Collectively, these curriculum-integration and teaching-reform efforts have moved beyond course delivery toward the creation of a structured talent development environment. The combination of embedded coursework, open learning pathways, instructor upskilling, and competition-driven feedback mechanisms has provided a basis for assessing early-stage outcomes.

Talent cultivation outcomes and social value

The implementation of Huawei ICT Academy courses at ASPU has resulted in a set of observable and measurable early-stage outcomes that reflect the effectiveness of the adopted teaching and curriculum integration approach. While the majority of participating students have not yet graduated, multiple indicators have shown reliable evidence of impact. These include sustained student engagement, participation and performance in national, regional and global Huawei ICT Competitions, leadership development through student-led initiatives, and continuous qualitative feedback gathered through academic practice.

The integration of Huawei ICT Academy programs at ASPU has produced several observable outcomes that demonstrate the effectiveness of an ecosystem-based approach to ICT talent development.

Outcome 1: Direct pathway to industry recognition and employability

By earning Huawei certification courses, students acquire portable credentials that are valued within Huawei's global partner and employer ecosystem. These certifications signal mastery of current, market-relevant technologies, thereby strengthening student profiles for internships, entry-level positions, and future career advancement.

Collectively, these outcomes illustrate a value co-creation model through which industry-aligned education benefits students' employability readiness, strengthens institutional relevance, and contributes to the broader ICT talent ecosystem. The ASPU experience demonstrates how early-stage indicators — engagement, performance, and leadership — can be used to assess impact prior to graduate employment data becoming available.

Figure 4: National-level recognition of ICT talent development outcomes

Figure 4: National-level recognition of ICT talent development outcomes

Outcome 2: Competition performance as a feedback mechanism

Student performance in Huawei ICT Competitions has served as a structured feedback channel for evaluating curriculum relevance and instructional quality. ASPU recorded 87 registered students in 2025 and 88 in 2024, positioning it among the most active Jordanian universities. Students also achieved national recognition during the Huawei ICT Competition Jordan Closing Ceremony (see Figure 4), while Ahmad Asad advanced to the Huawei ICT Competition Global Final in Shenzhen (2023–2024) and took home a Second Prize trophy.

Figure 5: Student Ambassador Initiative supporting sustainable talent ecosystems

Figure 5: Student Ambassador Initiative supporting sustainable talent ecosystems

Outcome 3: Student leadership and ecosystem activation

Beyond coursework and competitions, student feedback is reflected in sustained participation and leadership development through the Huawei Student Ambassador initiative (see Figure 5). This model empowers high-performing students to act as peer mentors, promote academy participation, and encourage engagement in training and competitions. Peer-led activities have strengthened learning continuity, motivation, and community engagement.

Future plans for Jordan's ICT talent ecosystem

Building on its initial outcomes, ASPU's strategy focuses on scaling both quality and impact. The university plans to further expand the integration of Huawei ICT Academy courses across its academic programs, strengthening alignment with industry needs. This forward-looking direction directly supports Jordan's National Digital Transformation Strategy (2026–2028) by contributing to the development of industry-ready talent in priority domains such as AI and cybersecurity. Planned initiatives include expanding AI- and security-focused learning pathways across additional courses, broadening the Huawei Student Ambassador initiative to sustain peer-led engagement, and establishing dedicated Huawei laboratories to enable hands-on experimentation with emerging technologies.

These future directions aim to strengthen Jordan's ICT talent ecosystem by aligning academic curricula, industry platforms, and national workforce priorities. By institutionalizing practice-driven learning, instructor development, and structured student engagement, ASPU contributes to a sustainable and adaptable talent pipeline. This approach also offers a reference framework that can be adapted by other institutions seeking to develop industry-aligned ICT talent at national or regional levels.

Industry-Education Collaboration:
AI Talent Cultivation Through Partnership

Tumaini Shija

Tumaini Shija

Huawei Tanzania

Competing My Way Forward: A Young Tanzanian's Journey in ICT

From lab to competition to career, one young Tanzanian's path shows how hands-on learning and contests can bridge the gap between education and work.

As digital transformation sweeps across Africa, Tanzania is pushing forward with its digital economic agenda and working to close the gaps in its communications infrastructure. The ICT sector has become a key driver of the country's economic transformation and rural digital inclusion. However, long-standing challenges continue to hold the industry back, including a shortage of skilled ICT talent, a lack of hands-on expertise, and a disconnect between university curricula and real-world industry needs. Many young Tanzanians find themselves trapped in a cycle of limited access to learning resources and training for job-ready skills. Each year, a large number of graduates enter the job market, but without the practical know-how or innovative mindsets needed for emerging roles in AI and cloud computing, they struggle to meet industry demands. The gap for quality local ICT talent continues to widen.

To address this talent bottleneck, Tanzania has been deepening international partnerships in digital talent development to build training platforms through school-industry collaboration. The Huawei ICT Academy and the Huawei ICT Competition have proven to be the most effective of these partnerships. They provide a clear path for young Tanzanians from campus learning and competition experience to professional careers. My own journey is an example of this localized talent development model in action.

Finding my path: Connecting with Huawei's lab

When I stepped onto the campus of the Dar es Salaam Institute of Technology (DIT) in 2021, one thing was clear to me: In a field as fast-moving as ICT, textbook knowledge alone would never be enough to keep up. Throughout my engineering studies, I was eager to get hands-on with cutting-edge technology and work on real-world projects to build a foundation for career growth. The arrival of the Huawei ICT Academy on campus gave me exactly that.

What excited me most was that DIT had its own dedicated Huawei lab. It was equipped with real Huawei devices for us to work on, and more importantly, it had a vibrant atmosphere of open technical discussion. This allowed me to turn theoretical knowledge from the classroom into practical, usable skills. At the lab, I built a strong professional foundation by studying technical protocols and performing repeated device debugging (see Figure 1).

Figure 1: Learning at the Huawei ICT Academy at DIT

Figure 1: Learning at the Huawei ICT Academy at DIT

The Huawei ICT Competition came up often in the daily conversations at the lab. It was not just a global technical contest, but also a great opportunity to connect with peers and broaden one's perspective. Driven by a desire to test my skills and push beyond my limits, I decided to sign up. Over the next two seasons, I competed in different tracks, gaining real experience and growing through each challenge.

Two competitions, two breakthroughs

2022–2023: Building a foundation in the networking track

For my first competition, I chose the practice track in networking, focusing on data communications, network security, and wireless local area network (WLAN). My goal was clear: to demonstrate that I had what it takes to keep a network running reliably.

The first hurdle was an online theoretical prelim at the Huawei Certified ICT Associate (HCIA) level. The questions covered everything from the core mechanisms of link state advertisements (LSAs) in Open Shortest Path First (OSPF) routing to the precise configuration of Huawei firewall network address translation (NAT). This challenge demanded a solid grasp of fundamentals, with no room for slip-ups.

The intensity of the preparation period is still fresh in my mind (see Figure 2). A few classmates and I formed a study group, and we practically lived in the Huawei lab. Late into the night, the only sounds were the low hum of servers and the clatter of keyboards. We built WAN topologies in the Enterprise Network Simulation Platform (eNSP) simulator, tweaked network configurations, and hunted down faults. One task that stands out in my memory is the configuration of an IPsec VPN tunnel. The objective was to enable secure communication between two simulated branch offices. We had to align encryption and authentication algorithms, complete phase 1 and phase 2 negotiations, and ensure data could flow safely across the simulated public network. Every failure taught us something new, and when we finally got it right, it was a moment of clarity. This process turned theoretical knowledge into practical habit, and gave me the patience and composure to troubleshoot under pressure.

Figure 2: Intense preparation for the competition

Figure 2: Intense preparation for the competition

After passing the prelim, I advanced to the national final. The final was also an online theoretical exam. It brought together many of the best students from across the country. Every point counted for advancement. I passed the exam, but my score fell short of the top performers, and I did not make it to the regional stage.

That loss showed me where I stood. Having a strong foundation was only the first step. To reach the level of global excellence, I needed to go deeper and become more precise in both technical understanding and execution. I did not walk away with a trophy, but I gained the core skills needed for HCIA certification. More importantly, I learned the difference between competence and excellence. The skills and perspectives I gained from this experience have proven far more valuable than any award.

2023–2024: Exploring the innovation track

When the 2023–2024 season began, I decided to sign up again, this time choosing the more challenging innovation track. This track emphasizes creativity, requiring participants to use technologies like AI, cloud computing, and IoT to design solutions for real-world problems. I wanted to broaden my engineering horizons by connecting technology with real needs.

Our team focused on digital health, responding to the urgent need for basic health diagnostics and preventive health guidance in our local community. We developed a virtual doctor project called Omoro AI, designed to provide convenient and intelligent health support. For the technical implementation, we used Huawei Cloud to ensure secure and compliant storage and processing of user data. We also trained a custom machine learning model on the ModelArts AI platform, which generated personalized health recommendations based on user input such as symptoms, age, and gender.

The project pushed us to balance both technical and practical concerns. On the technical side, collecting and cleaning the dataset was a delicate task. We had to ensure the data was accurate and comprehensive while spending time filtering out invalid information. The interface design also went through multiple rounds of refinement to make it more intuitive and trustworthy, so that users of all ages could navigate it easily.

Figure 3: The Huawei ICT Competition brought me a circle of like-minded peers

Figure 3: The Huawei ICT Competition brought me a circle of like-minded peers

On the practical side, we clearly positioned our recommendations as preventive health guidance, reminding users to see a doctor when necessary to avoid any misleading advice. We also considered the feasibility of a business model, evaluating how we could use Huawei Cloud infrastructure to scale the solution at a low cost and bring it to more communities.

The competition required us to submit a complete technical proposal and record a five-minute demo video explaining the system architecture, implementation logic, technical highlights, and application value. From proposal design and development to video production, the process was demanding but deeply rewarding. It gave me a complete end-to-end experience, from the initial spark of an idea to a working solution.

Our project did not advance to the regional finals. There were simply too many strong entries from around the world. But the experience gave me more than I had expected. It pushed me to connect cutting-edge AI with real social needs, think in terms of systems, and build a complete technical and business loop. It reshaped how I think about engineering practice. Competing on a global stage like the Huawei ICT Competition was itself an honor and an opportunity for growth.

In both of these competitions, my goal remained the same: to test my knowledge, sharpen my skills, and explore new possibilities. I did not walk away with top prizes, but what I gained through the process laid a strong foundation for what came next — my entry into the Huawei workplace.

Starting my career: Opportunity favors the prepared

In 2024, a new chapter of my university life began. After final exams, I noticed that Huawei Tanzania was hiring Radio Access Network Front Office (RAN-FO) engineers. The role involves troubleshooting base station issues and optimizing network performance, which are critical to keeping mobile networks stable. The skills I had honed in the competitions made me a strong fit for the position. I submitted my application and soon received an interview invitation. Thanks to my systematic learning at the Huawei ICT Academy and my hands-on experience from the competitions, I was already familiar with Huawei equipment and technical protocols, which gave me an edge in the technical interview.

The interview focused on real-world scenarios. I was tested on my ability to troubleshoot network faults and respond effectively under high-pressure situations. When asked about specific fault cases, I drew on my lab experience and competition preparation to lay out a complete troubleshooting process, from analyzing symptoms and reviewing logs to adjusting configurations and verifying outcomes. I also anticipated potential secondary issues. This structured approach came from the systematic thinking and intuition built through countless simulation drills. I received the job offer and now work as a RAN-FO engineer at the YAS headquarters.

My current role as a RAN-FO engineer at YAS involves monitoring network performance, troubleshooting base station faults, and optimizing quality on a daily basis. These responsibilities closely match the troubleshooting skills I developed in the networking track and the systems thinking I learned from the innovation track. All those late nights in the lab and countless rounds of debugging during the competitions have become a source of confidence in my work, helping me adapt quickly and grow into a capable Huawei engineer.

Beyond the competition: A journey forward

Looking back on my journey, from the Huawei lab to the competitions to my current role at Huawei, I have come to see the Huawei ICT Academy and the Huawei ICT Competition as more than just learning platforms. They are bridges between campus and career. They allow students to sharpen skills through the application of rigorous standards, broaden perspectives through innovation, and grow through inclusion. For many young people like me, they have paved the way to meaningful careers.

I truly hope every student interested in ICT will make the most of this opportunity. The path may not be easy, but if you stay grounded, keep learning, and are willing to challenge your own limits, you will grow through every attempt. You will find opportunities in preparation, and you will write your own ICT story.

My personal transformation reflects a broader change taking place among young Tanzanians. The talent shortages and gaps between education and industry are real, but school-industry partnerships like this one are bridging them. They are equipping thousands of young Tanzanians with the practical skills the industry needs. Our journey from learners to engineers is part of a larger story — the story of a generation stepping up to build Tanzania's digital future. We are closing the skills gap, one engineer at a time, and laying the groundwork for a connected, resilient economy that can stand on its own.