Here is a list of courses that are a part of Stanford’s AI Graduate Certificate, along with the resources (Slides / Notes / Lecture Videos etc.) for the courses.
Courses. (Required: CS221 and 3 elective courses from the rest)
- 4 units. CS221, CS224N, CS224U, CS228, CS229, CS230, CS231A, CS231N, AA228
- 3 units. CS157, CS223A, CS234, CS236, CS330
Prerequisites.
- CS109 Probability for Computer Scientists Slides & Notes
- Math104 Applied Matrix Theory Notes / HW
Course Materials
- CS221 Artificial Intelligence: Principles and Techniques Materials
- CS224N Natural Language Processing with Deep Learning YouTube / Other materials
- CS224U Natural Language Understanding Materials
- CS228 Probabilistic Graphical Models: Principles and Techniques Official Notes
- CS229 Machine Learning Coursera / Official Notes
- CS230 Deep Learning Slides & Materials / Coursera
- CS231A Computer Vision: From 3D Reconstruction to Recognition Official Notes
- CS231N Convolutional Neural Networks for Visual Recognition Youtube / Slides & Code
- AA228 Decision Making Under Uncertainty Reading / HW Exercises / Other materials
- CS157 Computational Logic Github Notes
- CS223A Introduction to Robotics All Materials
- CS234 Reinforcement Learning Slides & Notes / Lecture Videos
- CS236 Deep Generative Models Notes / Slides & HW
- CS330 Deep Multi-task and Meta Learning Notes, Slides & HW
Naveen Venkat 