Understanding AI, Step by Step — Free Courses for Everyone
A free, no-code, no-jargon visual course series that takes you from “what even is AI?” all the way to building and using AI responsibly. Six short courses, 25 slides each — perfect for school & college students, teachers, and curious beginners. Bookmark this page: I keep adding new topics here.
Each course works offline — just open it in any browser, use ← / → to move, F for fullscreen. Suggested time: ~60–90 minutes each.
AI · LLMs · Generative AI — Explained
The foundation. What AI is, what an LLM is, what Generative AI is, and how they join together to power the AI everyone uses today. No coding, no maths, no jargon.
Open the course →Prompting — Talking to AI
How to talk to AI so it actually helps: better questions in, far better answers out. Learn the checklist — Task · Context · Format · Tone · Example · Iterate · Verify.
Open the course →Under the Hood — Tokens, Context & Embeddings
Opens the “black box”: why does AI forget? why does it cost money? how does it seem to understand what I mean? Meet tokens, the context window, embeddings and grounding (RAG).
Open the course →Making AI Do Things — APIs, Tools & Structured Output
Where AI stops just talking and starts doing — checking the weather, doing maths, sending a message — using APIs, JSON and tools. Ends with a gentle taste of code.
Open the course →AI Agents · RAG · Agentic AI
From intuition to a working understanding of AI Agents (the doer), RAG (the fact-checker), and Agentic AI (the team of agents that plan and collaborate toward a goal).
Open the course →Using AI Responsibly — Evaluation, Safety & Guardrails
Being a smart, safe and fair user of AI: judging whether AI is right, staying safe (privacy, security, guardrails), and doing the right thing. Five habits: CHECK · PROTECT · QUESTION · CREDIT · DECIDE.
Open the course →New topics are added to this page over time — bookmark it and check back. Found these useful? Share them with a friend, teacher or classmate.
