courses

crème de la crème of AI courses

## hello 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! ## looking for ideas I am looking for a good free course on statistics, linear algebra, integrals and derivatives that could be a good mathematical training for people who want to start a career in ML. I look forward to hearing [your ideas](https://github.com/SkalskiP/courses/pulls)! ## ‍courses & resources | **topic** | **format** | **difficulty** | **release year** | **price** | **course** | |:---------:|:----------:|:--------------:|:----------------:|:---------:|:----------:| | Generative AI | GitHub repository | ⬜⬜ | 2023 | free | [ Generative AI for Beginners]( https://github.com/microsoft/generative-ai-for-beginners) by Microsoft | | Deep Learning | YouTube playlist | ⬜ | 2023 | free | [ 6.5940 TinyML and Efficient Deep Learning Computing]( https://www.youtube.com/playlist?list=PL80kAHvQbh-pT4lCkDT53zT8DKmhE0idB) by Massachusetts Institute of Technology | | Natural Language Processing | YouTube playlist | ⬜ | 2023 | free | [ Natural Language Processing]( https://www.youtube.com/playlist?list=PLofp2YXfp7TZZ5c7HEChs0_wfEfewLDs7) by The University of Texas at Austin | | Deep Learning | website | ⬜⬜ | 2023 | free | [Deep Learning Fundamentals - Learning Deep Learning Using a Modern Open-Source Stack](https://lightning.ai/pages/courses/deep-learning-fundamentals/) by Sebastian Raschka | | Large Language Models | YouTube playlist | ⬜ | 2023 | free | [LLM Bootcamp - Spring 2023](https://www.youtube.com/playlist?list=PL1T8fO7ArWleyIqOy37OVXsP4hFXymdOZ) by The Full Stack | | Python | YouTube playlist | ⬜⬜ | 2023 | free | [CS50: Introduction to Programming with Python](https://www.youtube.com/watch?v=nLRL_NcnK-4) by Harvard University x freeCodeCamp.org | | Stable Diffusion and Deep Learning | website | ⬜ | 2023 | free | [Practical Deep Learning for Coders part 2: Deep Learning Foundations to Stable Diffusion](https://course.fast.ai/Lessons/part2.html) by fast.ai | | Deep Learning | YouTube playlist | ⬜⬜ | 2023 | free | [6.S191: Introduction to Deep Learning](https://www.youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI) by Massachusetts Institute of Technology | | Deep Learning | YouTube playlist | ⬜⬜ | 2023 | free | [ Neural Networks: Zero to Hero](https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ) by Andrej Karpathy | | Large Language Models and Prompt Engineering | website | ⬜⬜ | 2023 | free | [ Prompt Engineering Guide]( https://promptingguide.ai) by DAIR.AI | | Computer Vision | YouTube playlist | ⬜⬜ | 2023 | free | [ Computer Vision in Practice](https://www.youtube.com/playlist?list=PLZCA39VpuaZajiCtgDDwU8ghchtqx347R) by Piotr Skalski x Roboflow | | Natural Language Processing | YouTube playlist | ⬜ | 2023 | free | [ CS685: Advanced Natural Language Processing](https://youtube.com/playlist?list=PLWnsVgP6CzaelCF_jmn5HrpOXzRAPNjWj) by University of Massachusetts | | Linear Algebra | YouTube playlist | ⬜⬜ | 2022 | free | [ Linear Algebra for Data Science]( https://www.youtube.com/playlist?list=PLB3yPBd26tWyDNoUpEGVsyI-sygPLqYa1) by Shaina Race | | Machine Learning | YouTube playlist | ⬜ | 2022 | free | [ CS229: Machine Learning]( https://www.youtube.com/playlist?list=PLoROMvodv4rNyWOpJg_Yh4NSqI4Z4vOYy) by Stanford University | | MLOps | YouTube playlist | ⬜ | 2022 | free | [ Machine Learning Engineering for Production](https://www.youtube.com/playlist?list=PLkDaE6sCZn6GMoA0wbpJLi3t34Gd8l0aK) by Andrew Y. Ng | | Multimodal Machine Learning | YouTube playlist | | 2022 | free | [11-777: Multimodal Machine Learning](https://www.youtube.com/playlist?list=PL-Fhd_vrvisNM7pbbevXKAbT_Xmub37fA) by Carnegie Mellon University | | Deep Multi-Task and Meta Learning | YouTube playlist | | 2022 | free | [CS330 Deep Multi-Task and Meta Learning](https://youtube.com/playlist?list=PLoROMvodv4rNjRoawgt72BBNwL2V7doGI) by Stanford University | | Deep Learning | YouTube playlist | ⬜⬜ | 2022 | free | [ Practical Deep Learning for Coders](https://www.youtube.com/playlist?list=PLfYUBJiXbdtSvpQjSnJJ_PmDQB_VyT5iU) by fast.ai | | Deep Learning | YouTube playlist | ⬜⬜ | 2021 | free | [ Neural Networks from Scratch in Python]( https://www.youtube.com/playlist?list=PLQVvvaa0QuDcjD5BAw2DxE6OF2tius3V3) by Sentdex | | Natural Language Processing | YouTube playlist | ⬜ | 2021 | free | [ CS224U: Natural Language Understanding]( https://www.youtube.com/playlist?list=PLoROMvodv4rPt5D0zs3YhbWSZA8Q_DyiJ) by Stanford University | | Transformers | YouTube playlist | | 2021 | free | [CS25: Transformers United](https://www.youtube.com/playlist?list=PLoROMvodv4rNiJRchCzutFw5ItR_Z27CM) by Stanford University | | Deep Learning | YouTube playlist | ⬜ | 2021 | free | [NYU-DLSP21: NYU Deep Learning Spring](https://www.youtube.com/playlist?list=PLLHTzKZzVU9e6xUfG10TkTWApKSZCzuBI) by New York University | | Natural Language Processing and Transformers | website | ⬜⬜ | 2021 | free | [ NLP Course](https://huggingface.co/course/chapter1/1) by Hugging Face | | Deep Learning | book | ⬜⬜ | 2021 | free | [ Dive into Deep Learning](https://d2l.ai/index.html) by d2l.ai | | Reinforcement Learning | YouTube playlist | | 2021 | free | [ Reinforcement Learning Course](https://www.youtube.com/playlist?list=PLqYmG7hTraZDVH599EItlEWsUOsJbAodm) by DeepMind x University College London | | Natural Language Processing | YouTube playlist | ⬜ | 2021 | free | [CS224N: Natural Language Processing with Deep Learning](https://www.youtube.com/playlist?list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ) by Stanford University | | Deep Learning | YouTube playlist | ⬜ | 2020 | free | [ Deep Learning Lecture Series](https://www.youtube.com/playlist?list=PLqYmG7hTraZCDxZ44o4p3N5Anz3lLRVZF) by DeepMind x University College London | | Linear Algebra | website | | 2019 | free | [Advanced Linear Algebra - Foundations to Frontiers](https://www.cs.utexas.edu/users/flame/laff/alaff/ALAFF.html) by Margaret E. Myers & Robert A. van de Geijn | | Artificial Intelligence | Youtube playlist | ⬜ | 2019 | free | [Stanford CS221: Artificial Intelligence: Principles and Techniques](https://youtube.com/playlist?list=PLoROMvodv4rO1NB9TD4iUZ3qghGEGtqNX) by Stanford University | | Computer Vision | Youtube playlist | ⬜ | 2019 | free | [University of Michigan EECS 498.008 / 598.008: Deep Learning for Computer Vision](https://www.youtube.com/watch?v=dJYGatp4SvA&list=PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r) by University of Michigan | | Computer Vision | YouTube playlist | ⬜ | 2018 | free | [CS231n: Deep Learning for Computer Vision](https://www.youtube.com/playlist?app=desktop&list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv) by Stanford University | | Statistics and Probability | YouTube playlist | ⬜⬜ | 2013 | free | [ Statistics 110: Probability](https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo) by Harvard University | ## contribution 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](https://github.com/SkalskiP/courses/issues) or submit a [pull request](https://github.com/SkalskiP/courses/pulls). If you feel up to the task, please take a peek at our [contribution guide](https://github.com/SkalskiP/courses/blob/main/CONTRIBUTING.md). Together, let's make this the best AI learning hub on GitHub!