- A curated list of awesome, free AI courses available on YouTube.
- Courses taught in English are only considered.
- If you're new in this field, I highly recommend the courses listed on section
AI,DLorML. - If you know good courses not on the list, feel free to open an issue!
| Year | Title | Info | Links |
|---|---|---|---|
| 2021 Autumn | Artificial Intelligence: Principles and Techniques | Stanford CS221 | YouTube, Website |
| Year | Title | Info | Links |
|---|---|---|---|
| 2019 Fall | Deep Learning for Computer Vision | Michigan EECS 498-007 / 598-005 | YouTube, Website |
| 2017 Spring | Convolutional Neural Networks for Visual Recognition | Stanford CS231n | YouTube |
| Year | Title | Info | Links |
|---|---|---|---|
| 2023 Spring | Introduction to Deep Learning | CMU 11-785 | YouTube, Website |
| 2021 Spring | Deep Learning | NYU DS-GA 1008 | YouTube, Website |
| 2021 Spring | Deep Learning | UC Berkeley CS182 | YouTube, Website |
| 2018 Autumn | Deep Learning | Stanford CS230 | YouTube |
| Year | Title | Info | Links |
|---|---|---|---|
| 2021 Winter | Machine Learning with Graphs | Stanford CS224W | YouTube, Website |
| Year | Title | Info | Links |
|---|---|---|---|
| 2024 Spring | Computer Graphics | KAIST CS580 | YouTube, Website |
| 2023 Fall | Machine Learning for 3D Data | KAIST CS479 | YouTube, Website |
| 2020 Fall | Computer Graphics | CMU 15-462/662 | YouTube, Website |
| Year | Title | Info | Links |
|---|---|---|---|
| 2023 Summer | Probabilistic Machine Learning | University of Tübingen | YouTube, Website |
| 2020 Spring | Applied Machine Learning | Columbia COMS W4995 | YouTube, Website |
| 2019 Summer | Machine Learning | Stanford CS229 | YouTube, Website |
| 2018 Fall | Machine Learning for Intelligent Systems | Cornell CS4780 | YouTube, Website |
| Year | Title | Info | Links |
|---|---|---|---|
| 2022 Fall | Advanced NLP | CMU CS 11-711 | YouTube, Website |
| 2021 Spring | Natural Language Understanding | Stanford CS224U | YouTube, Website |
| 2021 Winter | NLP with Deep Learning | Stanford CS224N | YouTube, Website |
| Year | Title | Info | Links |
|---|---|---|---|
| 2022 Fall | Deep Reinforcement Learning | UC Berkeley CS285 | YouTube, Website |
| 2019 Winter | Reinforcement Learning | Stanford CS234 | YouTube, Website |
| 2018 Spring | Reinforcement Learning | Waterloo CS885 | YouTube, Website |
| 2015 | Introduction to Reinforcement Learning | DeepMind x UCL, David Silver | YouTube, Website |
| Year | Title | Info | Links |
|---|---|---|---|
| 2024 Fall | Robots That Learn | UC Berkeley CS 294-277 | YouTube, Website |
| 2019 Fall | Advanced Robotics | UC Berkeley CS287 | YouTube, Website |
| Year | Title | Info | Links |
|---|---|---|---|
| 2023 Winter | Convex Optimization I | Stanford EE364A | YouTube, Website |
| 2021 Fall | Machine Learning Theory | Stanford CS229M | YouTube, Website |
| 2019 Winter | Information Theory | Stanford EE376A | YouTube, Website |
| 2012 Winter | Information Theory, Pattern Recognition, and Neural Networks | University of Cambridge, David MacKay | YouTube, Website |
| Year | Title | Info | Links |
|---|---|---|---|
| 2024 Fall | Diffusion Models and Their Applications | KAIST CS492D | YouTube, Website |
| 2024 Spring | Deep Unsupervised Learning | UC Berkeley CS294-158 | YouTube, Website |
| 2023 Fall | Deep Generative Models | Stanford CS236 | YouTube, Website |
| 2023 Spring | Deep Generative Models | Cornell CS 6785 | YouTube, Website |
| 2020 Spring | Deep Unsupervised Learning | UC Berkeley CS294-158 | YouTube, Website |
| 2020 Spring | Probabilistic Graphical Models | CMU 10-708 | YouTube, Website |
| Year | Title | Info | Links |
|---|---|---|---|
| 2024 Winter | Recent Advances on Foundation Models | Waterloo CS886 | [unique playlist X], Website |
| 2023 Fall | Transformers United | Stanford CS25 | YouTube, Website |
| 2022 Fall | Geometric Deep Learning | AMMI GDL100 | YouTube, Website |
| 2021 Fall | Deep Multi-Task and Meta Learning | Stanford CS330 | YouTube, Website |