AI Foundations
The essentials everyone should know: what AI is, how it learns, and the ideas the whole field builds on.
Free · self-paced · certified
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Short, free courses on the foundations of AI. Read the lessons, pass a quick quiz, and get a shareable certificate for your LinkedIn or socials. Sign in with GitHub to save your progress.
Large Language Models 101
How ChatGPT-style models actually work — and how to make them do what you want.
Machine Learning Basics
How machines learn from data — the paradigms, the workflow, and why generalization is the whole game.
Prompt Engineering Essentials
Get reliable results from LLMs — the prompting patterns that actually hold up in real applications.
AI Safety & Alignment
Why keeping capable AI reliably doing what we intend is hard — and the techniques used today.
Neural Networks & Deep Learning
What neural networks are, why depth works, and the transformer that powers modern AI.
RAG in Practice
Ground an LLM in your own documents — the pipeline behind reliable, up-to-date answers.
Transformers & Attention: A Deep Dive
Build correct intuition for attention, transformer blocks, decoding, KV caching, and scaling laws.
AI Agents & Tool Use
Build reliable LLM agents that reason, call tools, and know when a plain pipeline wins.
Fine-Tuning & Model Adaptation
Learn when and how to adapt language models through fine-tuning, and when simpler methods win.
Evaluating AI Systems
Learn why evaluating AI is hard and how to build evals that actually predict real-world quality.
Computer Vision Essentials
Learn how machines see: image representation, CNNs, transformers, and where vision models fail.
AI Ethics & Responsible AI
A beginner's guide to bias, fairness, privacy, transparency, and governance for AI systems deployed in society.
Building AI Products
Ship reliable, trustworthy AI features by designing for uncertainty, evaluation, and cost from day one.
Generative AI Beyond Text
How AI generates images, audio, and video with diffusion models, plus controllability, evaluation, and real risks.