Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/Jasonlee1995/awesome-ai-courses
Awesome free AI courses available on YouTube
https://github.com/Jasonlee1995/awesome-ai-courses
List: awesome-ai-courses
ai-courses artificial-intelligence deep-learning machine-learning
Last synced: 16 days ago
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Awesome free AI courses available on YouTube
- Host: GitHub
- URL: https://github.com/Jasonlee1995/awesome-ai-courses
- Owner: Jasonlee1995
- Created: 2022-03-11T12:30:12.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2024-05-19T15:10:43.000Z (7 months ago)
- Last Synced: 2024-05-20T05:36:37.277Z (7 months ago)
- Topics: ai-courses, artificial-intelligence, deep-learning, machine-learning
- Homepage:
- Size: 60.4 MB
- Stars: 8
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- ultimate-awesome - awesome-ai-courses - Awesome free AI courses available on YouTube. (Other Lists / Monkey C Lists)
README
# Awesome AI Courses
[](https://github.com/sindresorhus/awesome)
[](https://opensource.org/licenses/MIT)
- 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`, `DL` or `ML`.
- If you know good courses not on the list, feel free to open an issue!
## Artificial Intelligence (AI)
|Year|Title|Info|Links|
|:-|:-|:-|:-|
|2021 Autumn|Artificial Intelligence: Principles and Techniques|Stanford CS221|[YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rOca_Ovz1DvdtWuz8BfSWL2), [Website](https://stanford-cs221.github.io/autumn2021/modules/)|
## Computer Vision (CV)
|Year|Title|Info|Links|
|:-|:-|:-|:-|
|2019 Fall|Deep Learning for Computer Vision|Michigan EECS 498-007 / 598-005|[YouTube](https://www.youtube.com/playlist?list=PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r), [Website](https://web.eecs.umich.edu/~justincj/teaching/eecs498/FA2019/)|
|2017 Spring|Convolutional Neural Networks for Visual Recognition|Stanford CS231n|[YouTube](https://www.youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv)|
## Deep Learning (DL)
|Year|Title|Info|Links|
|:-|:-|:-|:-|
|2023 Spring|Introduction to Deep Learning|CMU 11-785|[YouTube](https://www.youtube.com/playlist?list=PLp-0K3kfddPwgBSCbDtT6NaVOd-gIHVMW), [Website](https://deeplearning.cs.cmu.edu/S23/index.html)|
|2021 Spring|Deep Learning|NYU DS-GA 1008|[YouTube](https://www.youtube.com/playlist?list=PLLHTzKZzVU9e6xUfG10TkTWApKSZCzuBI), [Website](https://atcold.github.io/NYU-DLSP21/)|
|2021 Spring|Deep Learning|UC Berkeley CS182|[YouTube](https://www.youtube.com/playlist?list=PL_iWQOsE6TfVmKkQHucjPAoRtIJYt8a5A), [Website](https://cs182sp21.github.io/)|
|2018 Autumn|Deep Learning|Stanford CS230|[YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb)|
## Graph
|Year|Title|Info|Links|
|:-|:-|:-|:-|
|2021 Winter|Machine Learning with Graphs|Stanford CS224W|[YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn), [Website](http://snap.stanford.edu/class/cs224w-2020/)|
## Graphics
|Year|Title|Info|Links|
|:-|:-|:-|:-|
|2024 Spring|Computer Graphics|KAIST CS580|[YouTube](https://www.youtube.com/playlist?list=PLyi5FHzX7hBwMsuoGWFqQhkawUX0HFT7U), [Website](https://mhsung.github.io/kaist-cs580-spring-2024/)|
|2023 Fall|Machine Learning for 3D Data|KAIST CS479|[YouTube](https://www.youtube.com/playlist?list=PLyi5FHzX7hBzv6p_USmzLvL8TBKWljOph), [Website](https://mhsung.github.io/kaist-cs479-fall-2023/)|
|2020 Fall|Computer Graphics|CMU 15-462/662|[YouTube](https://www.youtube.com/playlist?list=PL9_jI1bdZmz2emSh0UQ5iOdT2xRHFHL7E), [Website](http://15462.courses.cs.cmu.edu/fall2020/)|
## Machine Learning (ML)
|Year|Title|Info|Links|
|:-|:-|:-|:-|
|2023 Summer|Probabilistic Machine Learning|University of Tübingen|[YouTube](https://www.youtube.com/playlist?list=PL05umP7R6ij2YE8rRJSb-olDNbntAQ_Bx), [Website](https://github.com/philipphennig/Probabilistic_ML)|
|2020 Spring|Applied Machine Learning|Columbia COMS W4995|[YouTube](https://www.youtube.com/playlist?list=PL_pVmAaAnxIRnSw6wiCpSvshFyCREZmlM), [Website](https://www.cs.columbia.edu/~amueller/comsw4995s20/schedule/)|
|2019 Summer|Machine Learning|Stanford CS229|[YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh), [Website](http://cs229.stanford.edu/syllabus-summer2019.html)|
|2018 Fall|Machine Learning for Intelligent Systems|Cornell CS4780|[YouTube](https://www.youtube.com/playlist?list=PLl8OlHZGYOQ7bkVbuRthEsaLr7bONzbXS), [Website](https://www.cs.cornell.edu/courses/cs4780/2018fa/)|
## Natural Language Processing (NLP)
|Year|Title|Info|Links|
|:-|:-|:-|:-|
|2022 Fall|Advanced NLP|CMU CS 11-711|[YouTube](https://www.youtube.com/playlist?list=PL8PYTP1V4I8D0UkqW2fEhgLrnlDW9QK7z), [Website](https://phontron.com/class/anlp2022/schedule.html)|
|2021 Spring|Natural Language Understanding|Stanford CS224U|[YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rPt5D0zs3YhbWSZA8Q_DyiJ), [Website](https://web.stanford.edu/class/cs224u/2021/)|
|2021 Winter|NLP with Deep Learning|Stanford CS224N|[YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ), [Website](https://web.stanford.edu/class/archive/cs/cs224n/cs224n.1214/)|
## Reinforcement Learning (RL)
|Year|Title|Info|Links|
|:-|:-|:-|:-|
|2022 Fall|Deep Reinforcement Learning|UC Berkeley CS285|[YouTube](https://www.youtube.com/playlist?list=PL_iWQOsE6TfX7MaC6C3HcdOf1g337dlC9), [Website](https://rail.eecs.berkeley.edu/deeprlcourse/)|
|2019 Winter|Reinforcement Learning|Stanford CS234|[YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rOSOPzutgyCTapiGlY2Nd8u), [Website](http://web.stanford.edu/class/cs234/CS234Win2019/index.html)|
|2018 Spring|Reinforcement Learning|Waterloo CS885|[YouTube](https://www.youtube.com/playlist?list=PLdAoL1zKcqTXFJniO3Tqqn6xMBBL07EDc), [Website](https://cs.uwaterloo.ca/~ppoupart/teaching/cs885-spring18/schedule.html)|
|2015|Introduction to Reinforcement Learning|DeepMind x UCL, David Silver|[YouTube](https://www.youtube.com/playlist?list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ), [Website](https://www.davidsilver.uk/teaching/)|
## Robotics
|Year|Title|Info|Links|
|:-|:-|:-|:-|
|2019 Fall|Advanced Robotics|UC Berkeley CS287|[YouTube](https://www.youtube.com/playlist?list=PLwRJQ4m4UJjNBPJdt8WamRAt4XKc639wF), [Website](https://people.eecs.berkeley.edu/~pabbeel/cs287-fa19/)|
## Theory
|Year|Title|Info|Links|
|:-|:-|:-|:-|
|2023 Winter|Convex Optimization I|Stanford EE364A|[YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rMJqxxviPa4AmDClvcbHi6h), [Website](https://stanford.edu/class/ee364a/)|
|2021 Fall|Machine Learning Theory|Stanford CS229M|[YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rP8nAmISxFINlGKSK4rbLKh), [Website](https://web.stanford.edu/class/stats214/)|
|2019 Winter|Information Theory|Stanford EE376A|[YouTube](https://www.youtube.com/playlist?list=PLv_7iO_xlL0Kz2nU05COpINjU8C0UPICA), [Website](https://web.stanford.edu/class/ee376a/index.html)|
|2012 Winter|Information Theory, Pattern Recognition, and Neural Networks|University of Cambridge, David MacKay|[YouTube](https://www.youtube.com/playlist?list=PLruBu5BI5n4aFpG32iMbdWoRVAA-Vcso6), [Website](http://www.inference.org.uk/itprnn_lectures/)|
## Unsupervised Learning
|Year|Title|Info|Links|
|:-|:-|:-|:-|
|2024 Fall|Diffusion Models and Their Applications|KAIST CS492D|[YouTube](https://www.youtube.com/playlist?list=PLyi5FHzX7hBxtkKUZLRdiq5C01QimCno2), [Website](https://mhsung.github.io/kaist-cs492d-fall-2024/)|
|2024 Spring|Deep Unsupervised Learning|UC Berkeley CS294-158|[YouTube](https://www.youtube.com/playlist?list=PLwRJQ4m4UJjPIvv4kgBkvu_uygrV3ut_U), [Website](https://sites.google.com/view/berkeley-cs294-158-sp24/home)|
|2023 Fall|Deep Generative Models|Stanford CS236|[YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rPOWA-omMM6STXaWW4FvJT8), [Website](https://deepgenerativemodels.github.io/)|
|2023 Spring|Deep Generative Models|Cornell CS 6785|[YouTube](https://www.youtube.com/playlist?list=PL2UML_KCiC0UPzjW9BjO-IW6dqliu9O4B), [Website](https://kuleshov-group.github.io/dgm-website/)|
|2020 Spring|Deep Unsupervised Learning|UC Berkeley CS294-158|[YouTube](https://www.youtube.com/playlist?list=PLwRJQ4m4UJjPiJP3691u-qWwPGVKzSlNP), [Website](https://sites.google.com/view/berkeley-cs294-158-sp20/home)|
|2020 Spring|Probabilistic Graphical Models|CMU 10-708|[YouTube](https://www.youtube.com/playlist?list=PLoZgVqqHOumTqxIhcdcpOAJOOimrRCGZn), [Website](https://www.cs.cmu.edu/~epxing/Class/10708-20/index.html)|
## Other Topics
|Year|Title|Info|Links|
|:-|:-|:-|:-|
|2024 Winter|Recent Advances on Foundation Models|Waterloo CS886|[unique playlist X], [Website](https://cs.uwaterloo.ca/~wenhuche/teaching/cs886/)|
|2023 Fall|Transformers United|Stanford CS25|[YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rNiJRchCzutFw5ItR_Z27CM), [Website](https://web.stanford.edu/class/cs25/)|
|2022 Fall|Geometric Deep Learning|AMMI GDL100|[YouTube](https://www.youtube.com/playlist?list=PLn2-dEmQeTfSLXW8yXP4q_Ii58wFdxb3C), [Website](https://geometricdeeplearning.com/lectures/)|
|2021 Fall|Deep Multi-Task and Meta Learning|Stanford CS330|[YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rMIJ-TvblAIkw28Wxi27B36), [Website](http://cs330.stanford.edu/fall2021/index.html)|
Format : |Year|Title|Info|[YouTube](), [Website]()|