Complete AI teaching capability building
redefining the teaching paradigm for institutions
AI education is now at the core of vocational education reform, yet course approval, textbook selection and scheduling constraints all get in the way, leaving implementation badly out of step with policy requirements.

Most existing AI courses focus on concepts and are not adapted to real professional contexts. Students earn their credits but cannot transfer AI skills to real work situations, making the value of the courses hard to validate.

Vocational teachers generally lack a methodology for AI teaching. One-off training cannot build the ability to teach independently, so course quality depends heavily on individual teachers, with no sustainable, systematic support in place.




A systematic AI literacy curriculum covering all majors, with learning paths built on job competency models, so course content is deeply integrated with professional teaching.
Platform tools covering every AI teaching scenario, including AI drama-based teaching, hands-on labs and learning analytics, so teaching organization and process management have a solid foundation.
A complete development path from theory to hands-on practice to independent course delivery, combining online and offline learning to help teachers build an AI teaching methodology.
- Dual-track curriculum across 12+ major categories
- Complete slides, lab manuals, question banks and an AI study assistant
- End-to-end production on a single platform
- Industry-grade technology foundation — outputs double as portfolios
- Live sessions + hands-on practice + replays, tailored by major
- Training outcomes convert directly into classroom practice
actually runs
Featured caseBased on international industry-leading practices and localized educational needs, this 34-class-hour curriculum in LLM & RAG combines high-quality videos, interactive Notebook courseware, and a cloud-based experiment platform to build an industry-grade learning system that balances theory and practice, helping students quickly improve their AI application and innovation capabilities.



