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 | format | difficulty | release year | price | course |
---|---|---|---|---|---|
Deep Learning | YouTube playlist | 🟩⬜⬜ | 2023 | free | 6.S191: Introduction to Deep Learning by Massachusetts Institute of Technology |
Deep Learning | YouTube playlist | 🟩⬜⬜ | 2023 | free | Neural Networks: Zero to Hero by Andrej Karpathy |
LLMs and Prompt Engineering | website | 🟩⬜⬜ | 2023 | free | Prompt Engineering Guide by DAIR.AI |
MLOps | YouTube playlist | 🟩🟩⬜ | 2022 | free | Machine Learning Engineering for Production by Andrew Y. Ng |
Multimodal Machine Learning | YouTube playlist | 🟩🟩🟩 | 2022 | free | 11-777: Multimodal Machine Learning by Carnegie Mellon University |
Deep Learning | YouTube playlist | 🟩⬜⬜ | 2022 | free | Practical Deep Learning for Coders by fast.ai |
Transformers | YouTube playlist | 🟩🟩🟩 | 2021 | free | CS25: Transformers United by Stanford University |
Deep Learning | YouTube playlist | 🟩🟩⬜ | 2021 | free | NYU-DLSP21: NYU Deep Learning Spring by New York University |
NLP and Transformers | website | 🟩⬜⬜ | 2021 | free | NLP Course by Hugging Face |
Deep Learning | book | 🟩⬜⬜ | 2021 | free | Dive into Deep Learning by d2l.ai |
Deep Learning | YouTube playlist | 🟩🟩⬜ | 2020 | free | Deep Learning Lecture Series by DeepMind x University College London |
Computer Vision | YouTube playlist | 🟩🟩⬜ | 2018 | free | CS231n: Deep Learning for Computer Vision by 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! 🚀