FOUR LEARNING PATHS
01 Degree pathways
Qualifications and capabilities, together. Proposed university partnerships across China, Singapore and the United Kingdom support undergraduate, postgraduate and non-degree study in AI, economics and management.
02 Professional education
A curriculum shaped around practical workplace needs and AI technologies. Project-based learning connects real data and delivery with professional capability.
The nine directions are AI applications; large language models, agents and RAG; embedded AI and robotics; data engineering; AIOps; testing; design; video; and short-drama production.
03 Practical skills
Focused learning for professionals and entrepreneurs: use AI to improve productivity and explore value creation.
AI productivity rethinks writing, analysis, reporting and decisions. AI value creation explores content production, digital presenters, short drama, cross-border commerce and customer-community agents. AI transformation focuses on organizational applications and processes.
GLOBAL COMPETITIONS
Learning through practice and challenge. The proposed Global Youth AI Competition centers on large language models, agents and embodied AI, connecting technical understanding with project development and international perspectives. Event questions can become learning projects; practical experience can inform the next stage of study.
04 Global learning
With Singapore as an Asia-Pacific base, proposed visits to universities, research organizations, technology businesses and investment institutions help learners see AI in a global context. Detailed partnerships and arrangements are subject to confirmation.