Course
AI Literacy Essentials
The shared baseline for everyone in an organisation who uses AI at work: what generative AI is and how it works, how to ask for what you want, what never to paste into a tool, how to check what comes back, and where bias gets in. It gives everyone the common foundation the European Commission's guidance describes, before any training tailored to their role.
What is in it
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Introduction to Generative AI
A practical starting point for teams who need a shared vocabulary, a working mental model, and a clear sense of what these tools are good for.
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How Does Generative AI Work?
Your words as LEGO bricks: tokens, the blueprint, the librarians and the next brick, in fifteen visual minutes.
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Working With Intent-Driven Interfaces
For anyone whose software now has a box that asks what they want: how to say it well, and how to check work you did not watch being made.
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Shadow AI: Pause Before You Paste
For everyone who reaches for an AI tool to get the work done: what counts as shadow AI, what should never be pasted into one, and how to pause and decide before you do.
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Misinformation and Deepfakes
Human deepfake detection is close to chance. So this teaches the process instead: check where a claim started, agree a second channel, and respond when you are targeted.
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AI Ethics
AI reflects the decisions of the people who build and buy it. Where bias gets in, how a system ends up optimising for the wrong thing, and the four questions to ask before a use of AI goes live.
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Avoiding AI Slop
What AI slop is, what it costs a team in time and trust, and the checks that keep it out of your own work.
The rest of the catalogue
Browse every module, unit and course on the catalogue page, or read how we build and test them on the standards page.