This repository curates and organizes high-quality machine learning and AI courses available on YouTube, targeting students, researchers, and practitioners seeking structured learning resources. It provides a categorized list of courses covering foundational ML, deep learning, NLP, computer vision, reinforcement learning, and LLMOps, offering direct links to lectures and materials.

How It Works

The project acts as a curated index, compiling links to YouTube lectures and associated course materials. It categorizes courses by sub-fields within ML/AI, such as Deep Learning, NLP, Computer Vision, and Reinforcement Learning, and also includes emerging areas like LLMOps and Data-Centric AI. This organization allows users to easily discover and navigate comprehensive learning paths.

Quick Start & Requirements

• Access to YouTube.
• No installation required; browse directly via the repository.
• Links to official course pages, lecture videos, and sometimes supplementary materials are provided.

Highlighted Details

• Extensive coverage across major AI/ML domains, including specialized areas like Geometric Deep Learning and ML for Life Sciences.
• Includes courses from top universities like Stanford, MIT, and CMU, as well as industry leaders like Hugging Face and DeepMind.
• Features practical, application-oriented courses on LLMOps and building LLM-powered applications.
• Lists courses by prominent figures such as Andrej Karpathy and Andrew Ng.

Maintenance & Community

The project is maintained by DAIR.AI. Contributions are welcomed via pull requests. Users can reach out on Twitter for questions.

Licensing & Compatibility

The repository itself is likely under a permissive license (e.g., MIT, Apache 2.0) as it primarily links to external content. The linked course materials will adhere to their respective university or creator licenses.

Limitations & Caveats

The quality and availability of linked YouTube videos are dependent on the original creators. Course content and structure may vary significantly between listed resources. Some links may become outdated over time.