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I will collect a list of (open) courses first for AI, CS and Math. High-quality knowledge matters! Try to update everyday!

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awesome-courses

I will collect a list of (open) courses first for AI, CS and Math. High-quality knowledge matters!

The list might be rough now, but I will make it much nicer later, maybe with LLM & Agent.

Courses

Advanced Large Language Model Agents (CS294, Berkeley)

Language Modeling from Scratch (CS336, Stanford)

Reinforcement Learning of Large Language Models (?????, UCLA)

Advanced Natural Language Processing (11-711, CMU)

Advanced Natural Language Processing (11-711, CMU)

Deep Reinforcement Learning (CS285, Berkeley)

Deep Reinforcement Learning (CS224R, Stanford)

  • record update time: 05/29/2025
  • owner: Stanford
  • time: Spring 2025
  • instructors: Chelsea Finn
  • tags: AI, RL
  • course link: https://cs224r.stanford.edu/
  • code assignment: yes
  • language: English
  • backup: false

Optimal Control and Reinforcement Learning (16-745, CMU)

Computational Optimization, Spring 2025 (CHE 597, Purdue)

Optimal and Learning-Based Control (AA203, Stanford)

  • record update time: 05/29/2025
  • owner: Stanford
  • time: Spring 2024
  • instructors: Marco Pavone and Daniele Gammelli
  • tags: AI, RL, Control
  • course link: https://stanfordasl.github.io/aa203/sp2324/
  • code assignment: yes
  • language: English
  • backup: false

Advanced Robotics (CS 287, Berkeley)

Introduction to Flow Matching and Diffusion Models (6.S184, MIT)

Deep Generative Models (CS236, Stanford)

Introduction to Deep Learning (6.S191, MIT)

Advanced Optimization and Randomized Methods (10-801, CMU)

Introduction to Artificial Intelligence (CS188, Berkeley)

How To AI (Almost) Anything (MAS.S60, MIT)

Probabilistic Graphical Models (10780, CMU)

Modern Robotics: Mechanics, Planning, and Control Specialization (Coursera, Northwestern)

Control Bootcamp (Youtube, University of Washington)

AI Research Experiences (CS197, Harvard)

  • record update time: 07/10/2025
  • owner: Harvard
  • time: Winter 2023
  • instructors: Pranav Rajpurkar
  • tags: AI
  • course link: https://www.cs197.seas.harvard.edu/
  • language: English
  • backup: false

[TODO] Computational Methods in Optimization (CS-52000, Purdue)

https://www.cs.purdue.edu/homes/dgleich/cs520-2025/readings.html

[TODO] Integer Programming (ISE 418, Lehigh)

https://coral.ise.lehigh.edu/~ted/teaching/ie418/

[TODO] Deep Generative Models (6.S978, MIT)

https://mit-6s978.github.io/

[TODO] Data Structures and Graph Algorithms (COS 528, Princeton)

https://www.cs.princeton.edu/courses/archive/spring13/cos528/

Discrete Optimization (Coursera, The University of Melbourne)

General Resources

MIT OpenCourseWare

Stanford Online

Coursera

Edx

Udacity

USACO

LeetCode

Books

50 Years of Integer Programming

Other Repos

Not Courses

History of Diffusion - Yang Song

Deep Learning Day: Generative Modeling - Kaiming He

Deep Learning Day: Reasoning - Phillip Isola

Programming Exercises for Planning and Decision Making for Autonomous Robots (ETH)

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