AI Music Generation with Python and MIDI

Have you ever wondered how artificial intelligence can compose original melodies, harmonies, and rhythms? This text-based course guides you through the intersection of music theory, Python programming, and machine learning. You will transition from understanding basic musical representations to writing Python scripts that generate original MIDI sequences and leverage neural networks for creative composition. What you'll learn: Understand the core concepts of symbolic music representation, including MIDI files, pitches, and durations; Write Python code using specialized libraries to read, manipulate, and write MIDI data; Explore neural network architectures used for sequence generation, including recurrent models and basic transformers; Apply machine learning techniques to train models on musical datasets for automated composition; Analyze the differences between symbolic generation and direct audio synthesis using AI; Practice building simple generative music pipelines through structured, step-by-step coding exercises. The course begins with foundational music theory and MIDI concepts before guiding you through hands-on Python programming, data preparation, and training generative models. This course is designed for curious programmers, musicians, and tech enthusiasts who want to explore AI music generation; basic Python knowledge is helpful, but no prior machine learning experience is required. Start reading today to unlock the potential of algorithmic music composition.