This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI). Whether you're a beginner or an experienced learner, there's something here for everyone!
| topic | difficulty | release year | price | course | author |
|---|---|---|---|---|---|
| Deep Learning | 🟩⬜⬜ | 2023 | free | 6.S191: Introduction to Deep Learning | Massachusetts Institute of Technology |
| Deep Learning | 🟩⬜⬜ | 2023 | free | Neural Networks: Zero to Hero | Andrej Karpathy |
| MLOps | 🟩🟩⬜ | 2022 | free | Machine Learning Engineering for Production | Andrew Y. Ng |
| Multimodal Machine Learning | 🟩🟩🟩 | 2022 | free | 11-777: Multimodal Machine Learning | Carnegie Mellon University |
| Deep Learning | 🟩⬜⬜ | 2022 | free | Practical Deep Learning for Coders | fast.ai |
| Transformers | 🟩🟩🟩 | 2021 | free | CS25: Transformers United | Stanford University |
| Deep Learning | 🟩🟩⬜ | 2021 | free | NYU-DLSP21: NYU Deep Learning Spring | New York University |
| NLP and Transformers | 🟩⬜⬜ | 2021 | free | NLP Course | Hugging Face |
| Deep Learning | 🟩🟩⬜ | 2020 | free | Deep Learning Lecture Series | DeepMind x University College London |
| Computer Vision | 🟩🟩⬜ | 2018 | free | CS231n: Deep Learning for Computer Vision | Stanford University |
We would love your help in making this repository even better! If you know of an amazing AI course that isn't listed here, or if you have any suggestions for improvement, feel free to open an issue or submit a pull request. If you feel up to the task, please take a peek at our contribution guide.
Together, let's make this the best AI learning hub on GitHub! 🚀