Innovative Practice and Transformation of Python Programming Course Empowered by AI Large Models

This paper focuses on how to use AI big model to improve the teaching quality and learning effect of Python programming course. Starting from the foundation of AI big model and the current situation of Python programming courses, it provides new ideas for the teaching reform of programming courses in colleges and universities by exploring the innovative practice of AI big model in all aspects of course teaching (syntactic knowledge, application scenarios and practical aspects), including the auxiliary knowledge lectures, the project-driven as the core, and the real-time feedback evaluation system, in order to realize the optimization of programming practice and stimulate the creativity of students. and practice reference. At the same time, the challenges brought by the big model to the auxiliary teaching are viewed with dialectical thinking, and reasonable scientific suggestions are given to cultivate compound innovative talents with both profound technical skills and diversified knowledge reserves.