🎓 Learning Paths
Learn AI at your pace
Pick your level. Get a curated path — plain-English modules, real examples, and a playground to try things yourself.
Module 1
What actually is AI?
Not robots, not magic. What AI actually does under the hood — in plain English.
📖 5 minFree
Module 2
ChatGPT, Claude, Gemini — what's the difference?
The big AI assistants explained and compared. Which one is actually best for what.
📖 5 minFree
Module 3
What can AI do for my job?
Concrete examples for 10 different professions — not hype, just what's actually useful today.
📖 6 minFree
Module 4
What AI can't do (yet)
Hallucinations, bias, limitations — understanding where AI falls flat so you don't get caught out.
📖 5 minFree
Module 5
Is my job at risk?
An honest, evidence-based look at which roles AI will change and which it won't.
Module 6
Staying safe — what not to share with AI
Privacy, data, and what to be careful about when using AI tools at work or home.
✨ Playground
Try it yourself
Ask an AI a question and see how it responds. We've pre-loaded some starter prompts for complete beginners — no setup needed.
🔒 Unlocks after Module 2
Module 1
How LLMs actually work
Tokens, attention, training — a technically honest explanation without the PhD. Know what's happening inside the black box.
📖 10 minFree
Module 2
Calling AI via API
Your first API call to Claude or OpenAI. Authentication, parameters, costs — from zero to working code.
💻 15 minFree
Module 3
Building an AI agent
What agents are, how they loop, and how to build one that actually does useful work.
Module 4
RAG — giving AI your own data
How to build a system that answers questions using your own documents, databases, or knowledge base.
Module 5
Fine-tuning vs prompting vs RAG
When to use each approach, cost tradeoffs, and what actually makes sense for most real projects.
Module 6
Understanding AI cost models
Tokens, pricing, context windows — how to build AI products that don't bankrupt you.
✨ Playground
Full API sandbox
Live code environment. Experiment with prompts, parameters, and multi-turn conversations. Compare models side by side.