<p>The aim of this article is grounded in an investigation into the efficacy of musical education at the collegiate level through the utilization of artificial intelligence methodologies. It has been determined in this study that the utilization of the NSynth application enables an exploration of the artistic significance of musical compositions; the Sing Like Me application facilitates breath work, and the Flow Machines application influences the facilitation of a creative approach in vocal performance. It has been established that students, throughout the course of their education, were able to achieve a high standard of performance in Chinese compositions, attributed to the enhancement of emotional expressiveness in singing (<i>p</i> = 0.983), unity in vocal performance (<i>p</i> = 0.851). Tracking the dynamics of vocal placement revealed that after 6&#xa0;months of training, students were able to attain a higher level of vocal proficiency, as reflected in the refinement of tonal beauty (6.8 points). From the fourth month of instruction onwards, students began to develop skills associated with professional performance, including the augmentation of emotional expressiveness in singing and the smoothness of vocal execution during transitions to different registers. A SWOT analysis demonstrated the advantages of the presented artificial intelligence technologies for education, facilitating the development of skills pertinent to professional performance. The practical significance of the study lies in the potential to transform approaches to teaching singing through artificial intelligence technologies for students with basic vocal skills.</p>