Last updated: 2026-10-09
Self-paced courses for people who want to understand AI without the hype, the jargon, or the pressure. Free, browser-first, no install needed.
Available now
New to AI? Start with AI for Absolute Beginners, then Spot AI Scams and Fake Media. Using it for work: AI at Work, then AI Agents for Everyday Use. For study and privacy: Learn Anything with AI and Private AI on Your Own Computer. Ready for more: Beyond the Prompt, then the specialist courses.
How chatbots actually build answers, why they make things up and how to check them, how to write clear prompts, what not to share, scams, agents and keeping your own skills. Start here if you are new to AI.
Start course →Perfect phishing, voice-clone calls, fake shops and reviews, deepfakes, and a household plan for when something gets through. Short, practical and good to share with family.
Start course →Email in your own voice, outline-first reports, meeting notes, spreadsheets and research with ChatGPT, Claude and Gemini, plus the policy and checking habits that keep you out of trouble.
Start course →Choose the right jobs to delegate, brief agents clearly, and keep control with least access, approvals, schedules, budgets and a working off switch. Covers prompt injection in plain English.
Start course →Use ChatGPT, Claude and Gemini as a tutor rather than a crutch: study modes, explain-it-back, quizzes and spacing, skill plans, language practice and checking what you learn.
Start course →Run AI models on your own laptop: what hardware you need, Ollama vs LM Studio vs Jan, choosing a first model, private document chat and the checks that keep local AI local.
Start course →From prompt engineering through RAG, agents, MCP, evals, and multi-agent systems. Practical knowledge for anyone ready to build with LLMs.
Start course →A 20-lesson course on the economics of automation and the future of work. What changes, what doesn't, who gains, who loses, and how to reason about claims that all sound urgent.
Start course →A 22-lesson course on running a small AI agency: unit economics, market choice, service-stack design including platform setup and channel automation, legal & AI risk, sales, retention and exit. No hype, no commercial pitch.
Start course →A 16-lesson course aligned with Google's May 2026 generative-AI search guide. Covers GEO, AEO, schema, the three ways agents read a website, robots.txt and the llms.txt debate, agent protocols (MCP, AP2, NLWeb, UCP, WebMCP), off-site signals, freshness, measurement, the five-step audit, the first-mover window, and a calibration on Google's official position.
Start course →A 22-lesson course mixing the productivity literature (Drucker, Newport, Allen, Forte) with the AI toolkit (models, context, skills, hooks, sub-agents, MCP, headless workflows). Beginner to advanced, with the peer-reviewed out-of-the-loop performance problem at its centre.
Start course →