AI Courses

Background

  • Provides list of most popular AI/ML Courses and overview.
  • MOOC - Massive Open Online Courses

List of Courses

CS229: Machine Learning (Stanford University)

Popular. Andrew Ng. MATLAB Assignments and Maths Proofs.

Foundational. Supervised/Unspurvised, Neural Networks, RL.

CS230: Deep Learning (Stanford)

Andrew Ng. CNN, RNN, Transformers. TensorFlow and PyTorch.

6.036: Introduction to Machine Learning (MIT)

Foundational. Linear/Logistic Regressions, SVM.

6.S191: Introduction to Deep Learning (MIT)

NLP, Vision, Robotics. MIT and Industry Faculties (Google and Tesla)

Machine Learning Specialization (DeepLearning.ai via Coursera)

  • Andrew Ng, 600K enrolled
  • Contains 3 courses:
    • Supervised ML (Regression and Classification)
    • Advanced Learning Algorithms
    • Unsupervised, Recommenders, RL

Deep Learning Specialization (DeepLearning.ai via Coursera)

  • CNNs, RNNs, and sequence models.

LLM Agents: a free UC berkeley MOOC course — CS 294/194–196

CS188: Artificial Intelligence (UC Berkeley)

  • Foundational and Applications.
  • Search Algo, Markov Decision Processes, RL
  • Pac-Man Project to apply. Fun and practical.

Notes From Berkeley CS294: LLM Agents

CS294 Berkeley LLM Agents Course Notes

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Table Of Contents
AI Courses
Background
Links
List of Courses
CS229: Machine Learning (Stanford University)
CS230: Deep Learning (Stanford)
6.036: Introduction to Machine Learning (MIT)
6.S191: Introduction to Deep Learning (MIT)
Machine Learning Specialization (DeepLearning.ai via Coursera)
Deep Learning Specialization (DeepLearning.ai via Coursera)
LLM Agents: a free UC berkeley MOOC course — CS 294/194–196
CS188: Artificial Intelligence (UC Berkeley)
Notes From Berkeley CS294: LLM Agents