AIGC, based on LLM for understanding and training, has become a cutting-edge technology in digitalization and AI, and has been applied in various fields. AIGC, limited by training data and algorithm models, can lead to issues such as information cocoons chambers, data privacy, factual errors, value manipulation, and ethical norms. However, the intelligent assistance, efficient teaching, and personalized learning advantages of AIGC have led many companies to enter the AIGC education market and prompted numerous scholars to continuously explore its applications. Especially the rise of open-source models represented by DeepSeek has made the government gradually pay more attention to the integration of AIGC in education. Therefore, this paper starts with the development history of AIGC to gradually explore its applications in the education domain. Taking university programming courses as an example, this paper explores the AIGC education application paths from four levels: knowledge points, learning methods, student capabilities, and teaching methods, and from two dimensions of learning and teaching. This provides a new approach for the application of AIGC in higher education.