leehanchung/awesome-full-stack-machine-learning-courses
Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.
This is a curated list of publicly available machine learning courses from top universities like Stanford, MIT, and Berkeley, along with real-world case studies from leading companies. It helps aspiring or current machine learning practitioners find structured learning paths, guiding them from foundational concepts to specialized areas like LLMs or deep learning. The resource takes in your learning goals and outputs a categorized list of courses, lectures, and assignments.
512 stars.
Use this if you are a machine learning engineer, data scientist, or an AI practitioner looking for high-quality, free educational resources to upskill or learn new ML concepts from scratch.
Not ideal if you prefer interactive, instructor-led bootcamps or certified programs with formal assessments and project submissions, as this is a collection of self-study materials.
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512
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Last pushed
Nov 05, 2025
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