By the end of this module, you will be able to understand how Artificial Intelligence analyzes and interprets musical content through machine learning, feature extraction, and stem separation techniques. You will explore key concepts in Music Information Retrieval (MIR) and gain practical insight into how AI identifies and isolates musical elements in real-world applications.

By the end of this module, you will understand the core principles of generative AI in music, including deep learning approaches to composition and lyric generation. They will distinguish between parametric and non-parametric models, explore levels of human control in music generation, and apply AI tools to create and refine musical content. Learners will also reflect on the ethical and legal challenges of AI-generated music, considering both the final results and how the music is created.

By the end of this module, you will understand how Artificial Intelligence enhances the mastering stage of music production through Intelligent Music Production (IMP) systems. They will explore the different levels of control—from fully automated to user-guided workflows—and learn how AI tools assist with mastering tasks. Learners will also gain hands-on experience with AI mastering apps and critically assess their output.