Course Content
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?
0/4
What is artificial intelligence?
20:00
Generative AI, LLMs, ChatGPT and friends: the 2026 landscape
18:00
The AI trainer’s job: remit, mindset, career paths
15:00
Quiz — Module 1: the basics
Module 2 — Mastering everyday AI tools
Hands-on introduction to AI assistants and an overview of the tools grouped by use case.
0/4
Creating your account and taking your first steps
20:00
Generating text, images and audio
18:00
An overview of AI tools by use case
15:00
Quiz — Module 2: the tools
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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Anatomy of a good prompt
20:00
Essential techniques: role, examples, iteration
20:00
Building your library of reusable prompts
15:00
Quiz — Module 3: prompts
Module 4 — Ethics, limits and responsible use
The module that separates a naive user from a credible trainer.
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Hallucinations, bias and reliability
18:00
Personal data, confidentiality and GDPR
18:00
Copyright, transparency and impact
15:00
Quiz — Module 4: responsible use
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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Analysing needs and setting objectives
18:00
Structuring a module and scripting a session
20:00
Choosing materials, activities and assessments
15:00
Quiz — Module 5: instructional design
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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Facilitation techniques (in person and online)
18:00
Running a successful AI demonstration
15:00
Answering fears and objections about AI
15:00
Quiz — Module 6: facilitation
Module 7 — Final project and going further
Put it all into practice: design your first mini AI workshop.
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The brief for your final project
20:00
Presentation method and self-assessment
12:00
Resources and community: keeping your skills sharp
10:00
Final quiz — Recap
AI Trainer Training — from beginner to trainer

Good training does not start with content, it starts with the need. Who are you going to train, and what problem are you solving for them?

The questions to ask

  • Who? Level, job role, age, relationship with technology.
  • Why? Which concrete problem will AI solve for them?
  • What? Which precise skills will they have at the end?
  • How long? One hour, one day, a full learning path?

Writing learning objectives

A good objective is observable and starts with an action verb: “By the end, the learner will be able to write a structured prompt”, “… to spot a hallucination”. Avoid vague objectives such as “understand AI”.

AI tip: ask the AI to “rewrite these objectives so they are observable and measurable”. It will help you professionalise your instructional design.

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