Building AI literacy across your teams
Audience: All team members, including managers.
Give your teams reference points to understand AI, question their assumptions, and start using it with discernment. This learning path combines understanding, responsible use, and experimentation, while helping everyone keep their place and keep learning as work changes.
Download the learning path overview (PDF)Key facts
- Modules
- 6 modules in a recommended order
- Duration
- ~2 h as Adaptive modules ~1 h as training videos
- Formats
- Adaptive module or training video
- Suggested pace
- one module per week
The six modules, in the recommended order
Step 1
AI as a mirror: Why its answers depend on your questions
Lay the groundwork: understand what AI really is, what its mistakes reveal, and why the quality of its answers depends on what you give it.
Step 2
“AI will replace me”: Four questions to test the belief
Question common beliefs about AI, which often hold people back more than the tool itself, so that everyone decides what place to give it.
Step 3
AI ethics: What’s allowed and what it asks of you
Know the rules that govern AI (the European AI Act, internal charters) and adopt four simple habits to protect the organization’s data.
Step 4
Your job and AI: Three uses, three futures
Take stock of how you use AI, go beyond simply carrying out tasks, and anticipate how your job will change rather than having change imposed on you.
Step 5
Learning every day: On your own, with others, and with AI
Build a habit of continuous learning, with colleagues and with AI as a tutor, without delegating to it what still helps you grow.
Step 6
AI anxiety at work: Staying clear-headed and human
Adopt an approach you can sustain over time: choose what you keep in your job, and make sure AI takes pressure off rather than adding to it.
The composition of this learning path can be adapted to your audiences, your priorities, and the training already in place.
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