Objective: This study aims to enhance the effectiveness of music education by integrating AI and virtual technology into its framework, particularly focusing on the transformative impact on athletic training and performance. Methods: We developed an AI-driven recognition approach to overcome the inaccuracies in traditional image-based music education technologies. By analyzing the deployment of AI within music education, we propose a new model that leverages virtual instruction and smart algorithms for a comprehensive educational experience. Results: The proposed framework significantly improved the precision of musical instruction by utilizing AI to analyze and adapt to the needs of students. The application of virtual technology not only increased the accessibility of music education but also its adaptability to various learning environments. Conclusion: The integration of AI and virtual reality into music-based cultural heritage represents a significant advancement in educational techniques, with promising applications in enhancing athletic training. This approach provides a novel pathway for the digital transformation of music education, highlighting the potential for broader application in sports and fitness training programs.