Education

Two-week Harper College InZone youth course marketed as an AI music lab for ages 11–14.

Beginner Coursera course on AI-assisted composition, editing, stem separation, mastering, sound design, and audio ML.

Four-week Berklee Online course on AI-assisted music analysis, production, composition, distribution, and ethics.

Four-week online songwriting course using AI for lyrics, melodies, and musical ideas while addressing workflow, ethics, and industry impact.

Twelve-week online course combining AI foundations with music recognition, analysis, production, generation, and rights topics.

New MIT research seminar on algorithms and interactions for human-AI creative partnerships in music.

Berklee music-business course covering AI foundations and applications to creation, marketing, recommendation, production, rights, and likeness.

Georgia Tech bachelor's pathway combining an AI computing thread with a music-technology thread.

Berklee course on AI-assisted songwriting, industry disruption, voice cloning, deepfakes, and creator rights.

Four-unit Northwestern undergraduate certificate combining music cognition and corpus study with AI, machine perception, and interactive music.

Stanford seminar on the history and present-day ethical, commercial, and aesthetic dimensions of copyright and AI in popular music.

Berklee minor spanning audio software, machine learning, AI techniques, plugins, instruments, visualization, and interactive performance.

MIT course on signal-processing and computational methods for extracting high-level musical structure from audio.

Self-paced Coursera course covering audio-generation representations, evaluation, VAEs, GANs, Transformers, diffusion, ethics, and music models.

Four-week asynchronous continuing-education course for music educators on creative, productive, ethical, and copyright-aware GenAI use.

Free self-paced course on transformer-based audio applications, including a hands-on music-genre classifier.

Adaptive Kadenze course on classification, tagging, regression, clustering, and emotion analysis for music signals.

Hands-on Berklee course for building music-machine-learning applications, including generative audio systems and neural audio tools.

Official Magenta learning hub with browser and Colab tutorials for making music with machine learning.

One-year MIT coursework and capstone degree in computational music, including machine learning, MIR, interaction, and instrument design.

NYU master's degree with research and advanced study options in music informatics, machine learning, signal processing, and computer music.

Two-year Georgia Tech degree combining creative music practice with technical and research training, including machine learning and music informatics.

One-year MIT thesis degree in computational music with machine learning, generative systems, MIR, interaction, and signal processing.

Graduate NYU course on MIR research combining signal processing, machine learning, information retrieval, and music theory.

Fall 2026 research-lab course in Georgia Tech's Music Informatics Group for advanced music/audio analysis research.

Stanford critical-making course combining AI-mediated music creation, software engineering, HCI, aesthetics, and ethics.

Online FIU Honors course on AI's role in music creation, performance, consumption, industry, ethics, and society.

Free MIT OpenCourseWare package with syllabus, notes, assignments, projects, and audio for algorithmic and generative composition.

NYU course connecting music cognition with computational feature extraction and introductory machine-learning models.

Fully funded Georgia Tech doctoral program with core preparation in MIR, DSP, interactive systems, cognition, and music-technology research.

Year-long NYU faculty project grant that explicitly welcomes AI-in-music and next-generation audio research.

NYU student grant supporting AI-driven audio synthesis, app development, research publishing, prototypes, and music/audio entrepreneurship.