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awesome-online-courses

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An index of online courses with recorded videos for learning various topics, including machine learning, algorithms, mathematics, etc.

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# awesome-online-courses [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)

An index of online courses with recorded videos for learning various topics, including machine learning, algorithms, mathematics, etc. Please help contribute.

# Table of Contents

- [Machine Learning](#machine-learning)
- [Deep Learning](#deep-learning)
- [Reinforcement Learning](#reinforcement-learning)
- [Natural Language Processing](#natural-language-processing)
- [Computer Vision](#computer-vision)
- [ML Systems](#ml-systems)
- [Data Structure and Algorithm](#data-structure-and-algorithm)
- [System](#system)
- [Mathematics](#mathematics)
- [Productivity](#productivity)

## Machine Learning

| Name | Instructor | Institute | Video |
| --- | --- | --- | --- |
|[CS4780/CS5780: Machine Learning for Intelligent Systems](https://www.cs.cornell.edu/courses/cs4780/2018fa/)|Kilian Weinberger|Cornell|[Youtube](https://www.youtube.com/playlist?list=PLl8OlHZGYOQ7bkVbuRthEsaLr7bONzbXS)|
|[Machine Learning, 2020](http://speech.ee.ntu.edu.tw/~tlkagk/courses_ML20.html)|Hung-yi Lee|NTU|[Youtube](https://www.youtube.com/watch?v=CXgbekl66jc&list=PLJV_el3uVTsPy9oCRY30oBPNLCo89yu49)|
|[Probabilistic Graphical Models](https://sailinglab.github.io/pgm-spring-2019/)|Eric Xing|CMU|[Youtube](https://www.youtube.com/watch?v=Spj2OSYmtGg&list=PLoZgVqqHOumTY2CAQHL45tQp6kmDnDcqn&index=1)|
|Information Theory, Pattern Recognition, and Neural Networks|David Mackay|University of Cambridge|[videolectures](http://videolectures.net/course_information_theory_pattern_recognition/)|

## Deep Learning
| Name | Instructor | Institute | Video |
| --- | --- | --- | --- |
| [DS-GA 1008 Deep Learning](https://atcold.github.io/pytorch-Deep-Learning/)| Yann LeCun | NYU |[Youtube](https://www.youtube.com/watch?v=0bMe_vCZo30)|
| [Practical Deep Learning for Coders](https://course.fast.ai/)|Jeremy Howard|fast.ai|[Videos](https://course.fast.ai/videos/?lesson=1)|
| [11-785 Introduction to Deep Learning](http://deeplearning.cs.cmu.edu/)|Bhiksha Raj|CMU|[Youtube](https://www.youtube.com/watch?v=VO5vKowfMOQ)|
|[CS294-158-SP20 Deep Unsupervised Learning](https://sites.google.com/view/berkeley-cs294-158-sp20/home)|Pieter Abbeel|Berkeley|[Youtube](https://youtu.be/V9Roouqfu-M)|
|[ESE 680 Graph Neural Networks](https://gnn.seas.upenn.edu/)|Alejandro Ribeiro|U Penn|[Youtube](https://www.youtube.com/playlist?list=PL-BLJBpGQyLOBRhqEry2rsibv14hH5A2u) |

## Reinforcement Learning

| Name | Instructor | Institute | Video |
| --- | --- | --- | --- |
|[Reinforcement Learning](https://www.davidsilver.uk/teaching/)|David Silver|UCL|[Youtube](https://www.youtube.com/watch?v=2pWv7GOvuf0)|
|[CS 285 Deep Reinforcement Learning](https://rail.eecs.berkeley.edu/deeprlcourse/)|Sergey Levine|UC Berkeley|[Youtube](https://www.youtube.com/watch?v=SupFHGbytvA&list=PL_iWQOsE6TfVYGEGiAOMaOzzv41Jfm_Ps&index=2)|
|[Reinforcement Learning of Large Language Models, Spring 2025](https://ernestryu.com/courses/RL-LLM.html)|Ernest K. Ryu|UCLA|[Youtube](https://www.youtube.com/watch?v=q9972BRoXzQ)|

## Natural Language Processing

| Name | Instructor | Institute | Video |
| --- | --- | --- | --- |
|[CS224N: Natural Language Processing with Deep Learning](https://web.stanford.edu/class/cs224n/)|Christopher Manning|Stanford|[Youtube](https://www.youtube.com/playlist?list=PLoROMvodv4rMFqRtEuo6SGjY4XbRIVRd4)|
|[CS336: Language Modeling from Scratch, Spring 2025](https://cs336.stanford.edu/spring2025/)|Percy Liang, Tatsunori Hashimoto|Stanford|[Youtube](https://www.youtube.com/playlist?list=PLoROMvodv4rOY23Y0BoGoBGgQ1zmU_MT_)|
|[Introduction to Generative AI, 2024 Spring](https://speech.ee.ntu.edu.tw/~hylee/genai/2024-spring.php)|Hung-yi Lee|NTU|[Youtube](https://www.youtube.com/playlist?list=PLJV_el3uVTsPz6CTopeRp2L2t4aL_KgiI)|

## Computer Vision

| Name | Instructor | Institute | Video |
| --- | --- | --- | --- |
|[CS231n: Deep Learning for Computer Vision](https://cs231n.stanford.edu/)|Fei-Fei Li, Justin Johnson, Serena Yeung|Stanford|[Youtube](https://www.youtube.com/playlist?list=PLC1qU-LWwrF64f4QKQT-Vg5Wr4qEE1Zxk)|
|[CME296: Diffusion & Large Vision Models](https://cme296.stanford.edu/)|Afshine Amidi, Shervine Amidi|Stanford|[Youtube](https://www.youtube.com/playlist?list=PLoROMvodv4rNdy8rt2rZ4T2xM0OjADnfu)|

## ML Systems

| Name | Instructor | Institute | Video |
| --- | --- | --- | --- |
|[Full Stack Deep Learning, 2022](https://fullstackdeeplearning.com/course/2022/)|Sergey Karayev, Charles Frye, Josh Tobin|The Full Stack|[Youtube](https://www.youtube.com/playlist?list=PL1T8fO7ArWleMMI8KPJ_5D5XSlovTW_Ur)|

## Data Structure and Algorithm

| Name | Instructor | Institute | Video |
| --- | --- | --- | --- |
|[CS 61B Data Structures](https://sp19.datastructur.es/)|Josh Hug|Berkeley|[Youtube](https://www.youtube.com/playlist?list=PL8FaHk7qbOD58T7Zjfeq4m6K_D7eDg4TH)|

## System

| Name | Instructor | Institute | Video |
| --- | --- | --- | --- |
|[MIT 6.824: Distributed Systems](https://pdos.csail.mit.edu/6.824/)|Robert Morris|MIT|[Youtube](https://www.youtube.com/watch?v=cQP8WApzIQQ&list=PLrw6a1wE39_tb2fErI4-WkMbsvGQk9_UB)|
|[MIT 6.S081: Operating System Engineering](https://pdos.csail.mit.edu/6.S081/)|Robert Morris, Frans Kaashoek|MIT|[Youtube](https://www.youtube.com/playlist?list=PLMF2PpA06Sb0Nj-7TDAQpUs0vP5pA28VG)|
|[CMU 15-445: Database Systems](https://15445.courses.cs.cmu.edu/)|Andy Pavlo|CMU|[Youtube](https://www.youtube.com/playlist?list=PLSE8ODhjZXjYDBpQnSymaectKjxCy6BYq)|

## Mathematics

| Name | Instructor | Institute | Video |
| --- | --- | --- | --- |
|Mathematics 4: Real Analysis|Ole Christensen|DTU|[Youtube](https://www.youtube.com/watch?v=VXwXkME9uWU&list=PLaLOVNqqD-2FgXrlAPLv-iJRH-SriVqoq)|
|[Mathematical Methods for Robotics, Vision, and Graphics](https://graphics.stanford.edu/courses/cs205a-13-fall/index.html)|Justin Solomon|Stanford|[Youtube](https://www.youtube.com/watch?v=dkT8yuI2d50)|
|[MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning](https://ocw.mit.edu/courses/mathematics/18-065-matrix-methods-in-data-analysis-signal-processing-and-machine-learning-spring-2018/)|Gilbert Strang|MIT|[Youtube](https://www.youtube.com/playlist?list=PLUl4u3cNGP63oMNUHXqIUcrkS2PivhN3k)|
|[MIT 18.06 Linear Algebra](https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/)|Gilbert Strang|MIT|[Youtube](https://www.youtube.com/watch?v=ZK3O402wf1c&list=PL49CF3715CB9EF31D&index=1)|
|[Convex Optimization](http://www.stat.cmu.edu/~ryantibs/convexopt/)|Ryan Tibshirani|CMU|[Youtube](https://www.youtube.com/watch?v=Di9f47LAzHQ&list=PLRPU00LaonXQ27RBcq6jFJnyIbGw5azOI&index=1)|
|[MIT 6.262 Discrete Stochastic Process](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-262-discrete-stochastic-processes-spring-2011/)|Robert Gallager|MIT|[Youtube](https://www.youtube.com/watch?v=7CYXy9J4Aao&list=PLEEF5322B331C1B98)|
|[MIT 6.041 Probabilistic Systems Analysis and Applied Probability](https://ocw.mit.edu/courses/6-041-probabilistic-systems-analysis-and-applied-probability-fall-2010/)|John Tsitsiklis|MIT|[Youtube](https://www.youtube.com/playlist?list=PLUl4u3cNGP61MdtwGTqZA0MreSaDybji8)|
|[MIT 18.650 Statistics for Applications](https://ocw.mit.edu/18-650F16)|Philippe Rigollet|MIT|[Youtube](https://www.youtube.com/watch?v=VPZD_aij8H0&list=PLUl4u3cNGP60uVBMaoNERc6knT_MgPKS0)|
|[Math E-222: Abstract Algebra](http://www.infocobuild.com/education/audio-video-courses/mathematics/math-e222-harvard.html)|Benedict Gross|Harvard|[Youtube](https://www.youtube.com/playlist?list=PLzUeAPxtWcqzr80lS25FrzMn7a36BuXhj)|

## Productivity

| Name | Instructor | Institute | Video |
| --- | --- | --- | --- |
|[The missing semester](https://missing.csail.mit.edu/)|varies|MIT|[Youtube](https://www.youtube.com/playlist?list=PLyzOVJj3bHQuloKGG59rS43e29ro7I57J)|

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