Contenu du cours
Module 1 — Discovering AI and the role of the AI trainer
We demystify artificial intelligence and lay the groundwork: what are we actually talking about, and what does an "AI trainer" do?
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Module 2 — Mastering everyday AI tools
Hands-on introduction to AI assistants and an overview of the tools grouped by use case.
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Module 3 — The art of the prompt (prompt engineering for beginners)
The number one skill for getting the best out of AI: knowing how to phrase a good request.
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Module 4 — Ethics, limits and responsible use
The module that separates a naive user from a credible trainer.
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Module 5 — Designing AI training (instructional design)
Now we move to the other side of the room: building a structured, effective course.
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Module 6 — Delivering and passing on: the trainer’s stance
Designing is not enough: you also have to hold a room and win people over.
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AI Trainer Training — from beginner to trainer

AI gets things wrong — sometimes with disconcerting confidence. Understanding why is what protects you.

Hallucinations

Because the AI predicts plausible text, it can invent facts, quotations and references that simply do not exist. Always check important factual information (figures, dates, legal or medical sources).

Bias

The AI learned from data produced by humans: it can reproduce stereotypes (gender, cultural and others). A trainer must raise awareness of this and encourage a critical eye.

The « trust but verify » rule

  • For creating, brainstorming, rewriting: AI is excellent, and the risk is low.
  • For verifiable facts: cross-check against a reliable source.
  • For sensitive decisions (health, law, money): AI helps you think, it does not decide.

The key message to pass on: AI is an assistant, not an oracle. The human keeps final responsibility.

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