Most explanations of AI are either too technical to follow or too vague to be useful. Our course takes you from "what even is a token" to confidently spotting AI-generated content, in six plain-language modules with diagrams and quizzes. Everything is sourced so you can check it.
Six modules, each ending with a short quiz, plus a final exam. Built from the same research as our articles, but structured so each idea builds on the last.
What AI actually is, how the terms fit together, and what's really happening when you talk to a chatbot.
Why AI confidently makes things up, where bias comes from, and when to trust its output.
How to prompt effectively, what to delegate to AI, and how to build it into your work without losing quality.
Disclosure, honesty, other people's work, and knowing when not to use AI at all.
How to recognise AI text, images, and video with your own eyes, and what detection tools can and can't do.
Energy and water, jobs, and the flood of synthetic content, the real downsides, sized honestly.
What's really happening when you chat with an AI like ChatGPT. A clear, jargon-light explanation, from tokens to next-word prediction.
In a few years AI went from a curiosity to writing essays and code. What actually drove that leap.
AI can turn a sentence into a video. A plain-English explanation of how, from random noise to moving pictures.
A telltale is the small thing that gives someone away. AI has telltales too, and understanding them starts with understanding how the technology works underneath.
Most explanations of AI are either too technical to follow or too vague to be useful. The aim here is the middle ground: explain how these systems actually work, in ordinary language, and point to the research so you don't have to take our word for it.
If you want to understand what AI is doing without wading through a maths paper or a press release, that's what this is for.