awesome-ai-courses
github.com/jasonlee1995/awesome-ai-courses ↗Awesome free AI courses available on YouTube
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me theory resources from awesome-ai-courses"
Installation instructions →What's inside
Theory
- 2012 Winter
Information Theory, Pattern Recognition, and Neural Networks
- 2019 Winter
Information Theory
- 2021 Fall
Machine Learning Theory
- 2023 Winter
Convex Optimization I
- 2025 Winter
Information Theory
Reinforcement Learning (RL)
- 2015
Introduction to Reinforcement Learning
- 2018 Spring
Reinforcement Learning
- 2019 Winter
Reinforcement Learning
- 2022 Fall
Deep Reinforcement Learning
Computer Vision (CV)
- 2017 Spring
Convolutional Neural Networks for Visual Recognition
- 2019 Fall
Deep Learning for Computer Vision
Deep Learning (DL)
- 2018 Autumn
Deep Learning
- 2021 Spring
Deep Learning
- 2021 Spring
Deep Learning
- 2023 Spring
Introduction to Deep Learning
Machine Learning (ML)
- 2018 Fall
Machine Learning for Intelligent Systems
- 2019 Summer
Machine Learning
- 2020 Spring
Applied Machine Learning
- 2023 Summer
Probabilistic Machine Learning
Graphics
- 2020 Fall
Computer Graphics
- 2023 Fall
Machine Learning for 3D Data
- 2024 Spring
Computer Graphics
Unsupervised Learning
- 2020 Spring
Deep Unsupervised Learning
- 2020 Spring
Probabilistic Graphical Models
- 2023 Fall
Deep Generative Models
- 2023 Spring
Deep Generative Models
- 2024 Fall
Diffusion Models and Their Applications
- 2024 Spring
Deep Unsupervised Learning
Showing a sample of 39 resources. View the full list on GitHub →