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Learn to create AI-powered music generation systems through this comprehensive course designed for both technologists and musicians. Explore the fundamentals of generative music, from its historical roots to modern applications, while examining ethical implications and use cases in the music industry. Master the distinction between symbolic and audio generation approaches, and understand various generative techniques along with their limitations and future potential. Implement practical music generation projects using classical computational methods including generative grammars for chord progression, Markov chains for melody creation, cellular automata for drum pattern generation, and genetic algorithms for melody harmonization. Advance to cutting-edge deep learning approaches by understanding transformer architecture and applying it to melody generation, utilizing RAVE for audio synthesis, working with Compose and Embellish for piano composition, and exploring text-to-music generation through Mustango. Develop hands-on experience with both traditional algorithmic composition techniques and state-of-the-art neural network models to build a comprehensive skill set in AI-driven music creation.
