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EnglishOn November 25, the Zhejiang Human Resources Service Association and DingTalk jointly launched the "AI Application Engineer" academic examination and certification system, and initiated the "One Million AI Application Engineer Training Program." The program aims to integrate the resources of both parties to build a full-chain talent development system that covers AI technology training, practical application, and employment services, providing solid AI talent support for enterprises in Zhejiang Province and across the country.
Government-Enterprise Collaboration Drives AI Talent Development
The launch event was attended by Yuan Zhongwei, President of the Zhejiang Human Resources Service Association; Le Tian, Director of the Vocational Capacity Building Division of the Zhejiang Provincial Department of Human Resources and Social Security; Tong Tiejiang, Director of the Vocational Capacity Building Division of the Hangzhou Municipal Department of Human Resources and Social Security; He Jinxian, Deputy Director of the Hangzhou Employment Management Service Center; Yuan Chaoyang, Director of the Public Affairs Division; and Shen Fangming, Deputy Director of the Yuhang District Department of Human Resources and Social Security, who all witnessed the ceremony.
Yuan Zhongwei noted that with the rapid development of AI technology, the demand for AI talent from enterprises is becoming increasingly urgent. The training industry and the education sector must work together to advance talent development. He emphasized that training in AI application capabilities is key, with a focus on the development and application of AI Agents. DingTalk has significantly lowered the barrier to AI application, enabling employees without an IT background to become AI application professionals through hands-on training, thereby enabling deep integration of AI technology into various business scenarios.
Building a Certification System That Combines Theory and Practice
DingTalk CTO Zhu Hong pointed out that by 2025, China's AI talent gap is expected to reach 5 million, especially in fields such as healthcare and manufacturing, where the shortage of skilled talent is particularly acute. Enterprises urgently need versatile talent who can integrate AI with business operations. Leveraging Alibaba's full-stack AI capabilities, DingTalk has integrated multiple AI tools into its platform as teaching resources to help talent grow in real-world scenarios.
Zhu Hong revealed that DingTalk has partnered with institutions such as JinFeng Cloud and Tongyi Lab to jointly develop a "theory + practice" curriculum system, aiming to train 1 million AI application engineers within three years and promote high-quality employment in the AI era.
The "AI Application Engineer" academic examination and certification system is divided into three levels: beginner, intermediate, and advanced. It provides systematic AI training for employees in various roles across enterprise functions—production, supply, sales, research, human resources, finance, and legal. Individuals can quickly master AI application skills through learning and grow into versatile talent who "understand business, are proficient in AI, and can deliver results."
Establishing Enterprise-Level AI Talent Standards
Wu Lei, Deputy Director of the DingTalk AI Consulting Institute, believes that every enterprise should have at least one AI application engineer. Such talent will take on the core responsibility of building AI applications, skillfully using natural language programming and various AI capabilities to drive intelligent office collaboration and business process optimization.
This certification system was jointly developed by DingTalk and the association, focusing on real-world business scenarios. Certification tracks are tailored to specific job requirements, helping enterprises and employees efficiently meet AI capability standards.
Reshaping Organizations and Talent Capabilities
Zhai Xiaozhi, Deputy Director of the Alibaba Cloud Research Center, pointed out that AI will give rise to "super individuals" and "super organizations," requiring enterprises to restructure their organizational competitiveness and employee capabilities. Future talent development should focus on freeing up repetitive labor and shifting toward enhancing creativity, imagination, and cross-disciplinary thinking. Enterprises should view AI as a strategic tool, building a new skill set for all employees needed in the AI era and driving organizations toward a human-machine collaboration model.
Meng Jiafeng, Director of the Peking University Peiwen International Education Research Institute, introduced the concept of "liquid organizations," arguing that AI will optimize the inefficiencies of traditional hierarchical structures, improve talent matching and response efficiency, and drive organizations toward flexible, data-driven structures.
Eco-Partners and Corporate Practice Cases
Hangzhou TianSheng Bufan Education Technology Co., Ltd., a key partner of DingTalk, has served more than 5,300 growing enterprises, with nearly 10,000 trainees. Focusing on corporate management, the company uses AI to make strategy execution visual, traceable, and controllable. CEO Gao Min stated that the AI Application Engineer certification provides executives and employees with a systematic learning path and has also driven the transformation and upgrade of the training institution itself. DingTalk's support in courses, instructors, case studies, and ecosystem has created a sustainable new ToB service paradigm.
Xianle Health, a global leader in the research and production of nutritional health foods, is actively promoting the enhancement of its employees' AI skills. Digital Director Zhai Jingqing explained that since March this year, the company has partnered with DingTalk to launch the "Digital Intelligence Vanguard" training program. Nearly 100 core employees have been selected to prioritize mastering AI application capabilities and to exert AI influence within their teams, driving the entire workforce to unlock AI value on the DingTalk platform.
Success Stories of Individual Transformation
Lai Yunfei, a 2025 graduate of Xi'an University of Architecture and Technology, originally planned to enter the architectural design industry. However, amid a downturn in the industry, he taught himself AI knowledge and completed the DingTalk AI Application Engineer certification, successfully transitioning into a product manager at Shouke AI. He mastered practical skills such as Agent construction and workflow design and led the company's AI coaching product 2.0 upgrade project, significantly improving customer efficiency. He noted that in the AI era, cross-disciplinary and cross-industry transitions have become possible, and college students should proactively master AI tools to seek development opportunities in emerging blue-ocean fields.
Full Launch of the Certification System
The DingTalk AI Application Engineer academic examination and certification is now fully available. All standard DingTalk users can search for "AI Certification" in DingTalk to access the detailed page, where they can learn about the certification process and enterprise-level AI training content. Dedicated DingTalk enterprises can contact DingTalk service representatives through their administrators for relevant support.
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