Abstract: To meet the demand for big language model talents in the field of artificial intelligence, this article innovatively constructs a practical teaching system for graduate students based on the OBE (Outcome-Based Education) concept. Taking artificial intelligence programming practice and experimental courses as an example, the big language model is introduced to reconstruct the path of knowledge acquisition and problem solving, promote the shift of teaching focus to“problem definition tool application innovative practice”, cultivate students'active learning ability and practical skills in real application scenarios through layered task design: the basic layer mainly uses big language models to assist code understanding, the advanced layer focuses on human-machine collaborative debugging, and the innovative layer revolves around AI+cross domain projects. Teaching practice has shown that the introduction of big language models has achieved a transformation from knowledge transmission to intelligent enhancement of ability cultivation, and improved students'ability to adapt to the intelligent era.

Key words: Artificial intelligence, OBE, Large Language Model (LLM), Practical teaching, Active learning ability, Practice skill