In this study, we explore using a knowledge graph generated by ChatGPT to enhance the teaching and learning experience in an artificial intelligence course. The knowledge graph organizes complex AI concepts in an accessible, visual format, helping students to better understand the relationships between key ideas. To evaluate its effectiveness, we analyzed five critical dimensions: knowledge clarity, systematization, learning efficiency, learning interest, and usability. Using the Analytic Hierarchy Process (AHP), we assigned weights to these dimensions, while the Fuzzy Comprehensive Evaluation method was applied to assess the knowledge graph’s performance across different levels. Our findings reveal that the knowledge graph received high ratings overall, particularly in improving knowledge clarity and presenting a well-structured system of interconnected concepts. Students reported that it not only facilitated their comprehension of abstract topics but also made the learning process more engaging. The usability of the tool further contributed to its positive reception. These results highlight the potential of generative AI tools like ChatGPT to transform educational practices by enabling more dynamic and personalized learning environments. This research underscores the practical value of integrating AI-driven technologies into the classroom, offering insights for future curriculum design and innovation.