Learning path · Starter
AI in your working day
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Most people use AI like a search engine and then wonder about mediocre results. This path flips the order: first understand what an assistant is good for, then the craft of framing a task, then the limits. By the end you know what you can delegate – and what you cannot.
- 7
- 70
- For anyone using AI at work who wants more than lucky hits.
0 of 7 stations · 0 of 70 min
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- AI Assistants in Everyday Life: What Actually Works Today
You know which tasks an assistant handles reliably – and which you are better off doing yourself.
- Prompts That Hold Up
You frame tasks so the first answer is usable, instead of the fifth attempt.
- Context Engineering: Why Context Beats the Prompt
You understand why context decides more than phrasing – and how to build it.
- Where AI Reliably Fails
You recognise the failure modes where a model is convincingly wrong.
- ChatGPT & Privacy: What Happens to What You Type
You know what may go into a chat window and what may not – and why that differs from “is it forbidden”.
- Learning with AI: The Personal Tutor for Everyone
You use AI to learn without letting it do the understanding for you.
- ChatGPT Work: What OpenAI's Work Agent Actually Delivers
You can judge what a work agent takes over today, what it costs and where the European reality ends.
Work through it, don't just read it
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