awesome-ml-courses

Why we included this project

A single curator has gone through the machine learning and AI courses out there and kept the free ones with video lectures, organizing them by difficulty and topic. Each entry links the lecture playlist and the course website, so the notes, readings, and assignments sit right next to the videos. That makes it a practical starting point for developers building a self-study plan without paying for a bootcamp: a newcomer can begin with Stanford CS229 or Berkeley CS188 and work up to computer vision, reinforcement learning, or applied ML. Because one person maintains the list rather than a scraper, the picks are vetted and the low-value tutorials get filtered out. It also works as a syllabus reference for teams running an internal ML upskilling program.