Browse AI courses

CS294/194-196: Large Language Model Agents

Berkeley academic course on LLM agents — public materials and MOOC format covering agent design and evaluation.

Diploma in Applied Generative AI

Applied generative AI training for practical business and workflow use.

11,643 enrolled

Model Context Protocol: Advanced Topics

Official Anthropic course on advanced MCP production patterns and implementation.

Introduction to Artificial Intelligence and Problem Solving

Advanced AI foundations covering problem-solving techniques and search algorithms.

4,017 enrolled

CS230: Deep Learning

Stanford academic deep learning course — public materials covering CNNs, RNNs, and modern architectures.

Basics of Prompt Engineering

Alison course covering prompt engineering basics including image prompting techniques and advanced prompt patterns.

20,198 enrolled

CS229: Machine Learning

Stanford academic machine learning course — public course materials available online.

CS221: Artificial Intelligence: Principles and Techniques

Stanford academic core AI course — public materials covering search, knowledge, planning, and ML.

CS224N: NLP with Deep Learning

Stanford NLP with deep learning course — public materials online.

Diploma in AI for Healthcare Professionals

Advanced Alison diploma on AI applications in healthcare covering clinical decision support, diagnostics, and ethics.

1,546 enrolled

CS234: Reinforcement Learning

Stanford academic reinforcement learning course — public materials covering MDPs, policy gradient, and deep RL.

CS224U: Natural Language Understanding

Stanford academic NLU course — public materials on semantic parsing, dialogue, and language grounding.

STATS214 / CS229M: Machine Learning Theory

Stanford academic ML theory course — public materials on statistical learning, generalization, and bounds.

Machine Learning with Artificial Intelligence

Advanced machine learning integrated with AI techniques for practitioners.

21,456 enrolled

Foundations of Machine Learning

MIT Press canonical ML theory textbook by Mohri, Rostamizadeh, and Talwalkar — free PDF from authors.

Probabilistic Machine Learning: An Introduction

Canonical probabilistic ML book by Kevin Murphy — free online.

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Free official online textbook on MARL covering coordination, competition, and modern multi-agent systems.

AI in Cybersecurity: Vulnerability, Intelligence, Security, and Ethics

Advanced Alison course on AI applications in cybersecurity covering vulnerability assessment, threat intelligence, and ethics.

2,945 enrolled

Algorithmic Aspects of Machine Learning

MIT CSAIL textbook and lecture notes by Ankur Moitra on algorithmic foundations of machine learning — free PDF.

Probabilistic Machine Learning: Advanced Topics

Canonical probabilistic ML advanced topics book by Kevin Murphy — free online, covering deep generative models and inference.