Browse AI courses

AI Foundations for Everyone

IBM broad AI foundations course covering AI literacy, history, and responsible adoption for general audiences.

Introduction to Artificial Intelligence (AI)

A comprehensive beginner introduction to the core concepts of artificial intelligence.

35,665 enrolled

STATS214 / CS229M: Machine Learning Theory

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

Foundations of Machine Learning

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

Programming for Everybody (Getting Started with Python)

Strong beginner Python foundation from University of Michigan for AI learners.

Prompt Engineering With Generative AI

Master prompt engineering techniques with generative AI tools.

2,200 enrolled

Embrace responsible AI principles and practices

Microsoft Learn module on responsible AI governance, ethical safeguards, and best practices for business leaders.

AI Fluency for Nonprofits

Official Anthropic course on AI fluency for nonprofit professionals and workflows.

Python for Beginners

Public 44-part beginner Python video series from Microsoft Learn.

Introduction to NVIDIA NIM Microservices

NVIDIA DLI course on model inference deployment using NIM microservices for platform teams and builders.

Explore and analyze data with Python

Microsoft Learn module bridging Python basics into data analysis with NumPy, Pandas, and Matplotlib for AI workflows.

Probabilistic Machine Learning: An Introduction

Canonical probabilistic ML book by Kevin Murphy — free online.

Getting Started with AI on Jetson Nano

Hands-on NVIDIA DLI course on edge AI development and deployment with the Jetson Nano platform.

Introduction to Generative AI & Prompting

Meta for Business lesson on GenAI basics and prompting fundamentals for marketers and business users.

Python for Everybody

Open Python programming curriculum from University of Michigan / PY4E with lectures, book, and assignments.

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

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

Artificial Intelligence lecture (CS50x 2025/2026)

Public CS50 lecture on AI covering LLMs, transformers, prompt engineering, and hallucinations.

An Even Easier Introduction to CUDA

NVIDIA DLI introductory course on GPU programming fundamentals with CUDA for developers.

GenAI Prompt Types

Meta for Business lesson on prompt pattern selection and types for marketers and business users.

Algorithmic Aspects of Machine Learning

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