Objective: With the rapid development of artificial intelligence (AI) technology, traditional undergraduate teaching models are facing challenges and opportunities. This paper aims to explore the necessity of undergraduate teaching reform in the context of AI, analyze existing teaching issues, and propose specific reform strategies to cultivate innovative talents adapted to the AI era. Methods: Through literature review and field research, the status of undergraduate teaching was analyzed. Reform strategies were proposed from aspects of teaching philosophy, curriculum system, teaching methods, and faculty team building, and their effectiveness was verified through practical case studies. Results: The study found that existing teaching has problems such as outdated teaching philosophy, imperfect curriculum system, single teaching methods, and insufficient faculty capabilities. The proposed reform strategies include updating teaching philosophy, optimizing the curriculum system, innovating teaching methods, and strengthening faculty development. Practical case studies showed that these strategies significantly improved teaching effectiveness and enhanced students' innovation and practical abilities. Conclusion: The reform strategies proposed in this paper have achieved significant results in practice, providing a valuable reference for university teaching reform and helping to cultivate innovative talents adapted to the AI era. In the future, universities should continue to advance teaching reform and explore teaching models and methods that meet the needs of the new era.