Do I have to take the courses in order?

No, though the order is not arbitrary. AI Fundamentals explains the ideas the other courses lean on, so starting elsewhere means occasionally meeting a term before its explanation. When that happens, the glossary covers it in a sentence or two. If you already use AI tools regularly, jumping ahead and filling gaps as you hit them is a perfectly sensible way to work through the material.

Is my course progress saved?

Partly. Marking a lesson complete stores a tick in your own browser, so coming back later shows where you stopped. Nothing is sent anywhere, because there are no accounts and no server keeping a record of what you read. The tradeoff is real and worth knowing: clearing site data, switching browsers, or reading on another device starts you from a clean slate.

Do the courses include videos, quizzes, or exercises?

No videos and no graded quizzes. Each lesson is written text you read at your own pace, with practical things to try in whatever AI tool you already have open. That suits people who read faster than they watch and who want to skim back to one paragraph later. If you learn best by watching someone demonstrate, this format will feel thin.

Do the courses teach one specific AI tool, like ChatGPT?

No. The lessons teach ideas and habits that carry across tools, using examples from whichever assistant you happen to use. Step-by-step tutorials for a single product go stale fast, because interfaces and features change without notice. The cost of that choice is that you will not find click-here instructions for a particular menu here; the tools directory and the product's own documentation cover that better.

What should I do after finishing a course?

Use it on something real within the same week, because understanding fades quickly without application. After that, the natural next steps are the prompt library for templates you can adapt and the next course in the path. There is nothing to unlock at the end and no credential to collect — what you take away is what you can now do.

Free AI courses

Courses

Structured paths from AI fundamentals to practical, professional skills. Every course is free, needs no account, and is written in plain English rather than jargon.

New to recent technology? Explore the modern AI learning hub and current model guide, then follow the course that fits your next task.

Beginner

AI Fundamentals: How Modern AI Actually Works

A beginner-friendly walkthrough of what today's AI systems are, how they learn from data, and the vocabulary you need to follow any AI conversation with confidence.

4 lessons · about 10 min of reading

Last updated: September 4, 2026

Intermediate

Prompt Engineering for Real Work

Structured techniques for getting reliable, high-quality output from AI tools on real professional tasks — not just clever one-liners.

4 lessons · about 8 min of reading

Last updated: September 4, 2026

Beginner

Using AI in Everyday Work

A practical course on using AI for the work you already do — emails, documents, research, and meetings — including the judgment calls: what to delegate, what to check, and what never to paste into an AI tool.

6 lessons · about 12 min of reading

Last updated: September 4, 2026

Intermediate

Working With AI Agents: A Free Course

What an AI agent really is, how tools and the plan-act-check loop let it do things instead of just answering, where it fails, and how to stay in control of one.

6 lessons · about 18 min of reading

Last updated: September 4, 2026

Beginner

Modern AI Literacy: Models, RAG, MCP and Responsible Use

Understand today's AI models, reasoning and multimodal systems, retrieval, tool connections, evaluation and responsible reuse through practical exercises.

7 lessons · about 8 min of reading

Last updated: October 1, 2026

How these courses work

Each course is a short sequence of written lessons grouped into modules. There are no videos to sit through and no set schedule — you read at your own pace, and a lesson takes roughly five to ten minutes. Marking a lesson complete stores a tick in your own browser so you can find your place again; nothing is sent to a server, and clearing your browser data clears it.

The lessons are written to be understood rather than memorized. Where a concept has a technical name you will meet elsewhere, we introduce it and explain it, but we do not lead with vocabulary for its own sake. Where AI tools genuinely fall short, the courses say so — an honest picture of the limitations is more useful than enthusiasm.

Which course should you start with?

If you are new to the subject, start with AI Fundamentals. It explains what these systems actually are, which makes everything after it easier to follow. If you already use AI tools and mainly want better results from them, go straight to Prompt Engineering for Real Work. If your interest is specifically getting through your working day faster, Using AI in Everyday Work is the most directly practical of them. Once those feel comfortable, Agentic AI covers what changes when AI can act rather than only answer.

Not sure? The Start Here page lays out a suggested order through the whole site, including where the Prompt Library and AI Tools Directory fit in.

These courses are about AI, not programming. If what you want is to learn to code, the Learn to Code section has free, step-by-step exercise paths in Python, JavaScript and TypeScript that you write and run in your browser, plus lessons, practice problems and playgrounds — with no account.

Is there a certificate?

No. We do not issue certificates, and we would rather say that plainly than imply otherwise. A certificate from a site nobody has heard of carries no weight with an employer, and pretending it does would be a way of taking your time under false pretenses. What these courses offer is the understanding itself — which is the part that shows up in how you actually work.

Course questions

Do I have to take the courses in order?: No, though the order is not arbitrary. AI Fundamentals explains the ideas the other courses lean on, so starting elsewhere means occasionally meeting a term before its explanation. When that happens, the glossary covers it in a sentence or two. If you already use AI tools regularly, jumping ahead and filling gaps as you hit them is a perfectly sensible way to work through the material.
Is my course progress saved?: Partly. Marking a lesson complete stores a tick in your own browser, so coming back later shows where you stopped. Nothing is sent anywhere, because there are no accounts and no server keeping a record of what you read. The tradeoff is real and worth knowing: clearing site data, switching browsers, or reading on another device starts you from a clean slate.
Do the courses include videos, quizzes, or exercises?: No videos and no graded quizzes. Each lesson is written text you read at your own pace, with practical things to try in whatever AI tool you already have open. That suits people who read faster than they watch and who want to skim back to one paragraph later. If you learn best by watching someone demonstrate, this format will feel thin.
Do the courses teach one specific AI tool, like ChatGPT?: No. The lessons teach ideas and habits that carry across tools, using examples from whichever assistant you happen to use. Step-by-step tutorials for a single product go stale fast, because interfaces and features change without notice. The cost of that choice is that you will not find click-here instructions for a particular menu here; the tools directory and the product's own documentation cover that better.
What should I do after finishing a course?: Use it on something real within the same week, because understanding fades quickly without application. After that, the natural next steps are the prompt library for templates you can adapt and the next course in the path. There is nothing to unlock at the end and no credential to collect — what you take away is what you can now do.