Improving the quality of music education through the use of artificial intelligence (AI) technology is a promising opportunity to encourage students’ interest in learning music. This article explores the integration of AI-based applications to enhance practical, personalized, and interactive music learning experiences. The research methodology used in this study is a literature review of relevant sources. The results demonstrate the capacity of AI to help teachers improve music teaching by examining student performance data. As for students, they can start self-study by using strategies tailored to their individual needs that aim to deepen their understanding of musical knowledge and ideas such as pitch, speed, rhythm, and harmony.