China: China Artificial Intelligence Talent Training Report

1. 1. United States
2. 2. Japan
3. 3. United Kingdom
4. 4. Canada
5. 1. Talent supply
6. 2. Talent demand
7. 1. Google: Ninja Program
8. 2. Facebook: AI West Point
9. 3. Apple: Stepping up acquisitions to achieve rapid catch-up
10. 1. Current AI Talent Training Situation
11. 1 Tsinghua University 18.5 68 11 5.7 36
12. 2 Peking University 17.9 90 12 and Astronautics (Beihang 5.4 27
13. 5 Zhejiang University 10.1 55 15 Soochow University 3.1 23
14. 6 Nanjing University 8.7 42 16 ShanghaiTech University 2.8 11
15. 9 Fudan University 6.7 30 19 Shandong University 2.4 8
16. 2. Current AI talent demand
17. 3. Current Distribution of AI Talent
18. 1. Background of AI talent training in universities
19. 2. AI talent training directions in universities
20. 3. Construction of AI curricula and majors by universities
21. 4. AI curriculum development and teaching design in universities
22. 2 Shanghai Jiao Tong University
23. 2 Tongji University
24. 2 Zhejiang University
25. 1. Data and platform-driven AI talent training
26. 2. Competition-based practical training in AI
27. 3. Conducting bootcamps to reinforce practical experience
28. 4. School-enterprise collaborative participation in drafting AI talent standards
29. 5. Differentiated and precision (精准化) AI talent training
30. 1. Overall trend: insufficient total quantity and structural imbalance
31. 2. University models: A disconnect between theory and practice
32. 3. Enterprise models: A closed-loop ecosystem has yet to form
33. 4. Core conclusion: The ecosystem for industry-education integration urgently needs
34. 1. Deconstructing the abilities of AI talents
35. 2. An AI talent categorization system and its inherent features
36. 1. University-based: Relies on disciplinary resources and professional resources
37. 2. Supplemented by enterprises: Strengthening practical teaching and R&D
38. 2010 Founded at the end of 2010, it focuses on fields such as AI, social
39. 2010 CAS Institute of Computing
40. 2011 Huazhong University of
41. 2019 Nanjing University-Tencent
42. 1. Taking enterprises as the mainstay: Technical training and talent certification
43. 2. Colleges and universities as supplementary: talent training systems based on
44. 1. Differentiation by levels: The foundation for constructing AI talent training models
45. 2. Industry-education integration: A realistic AI talent training model approach
46. 3. Government guidance: The policy assurance for AI talent training models

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