What AI is, in simple terms
Understand what AI can do, what it cannot do and why its answers need checking.
Pratique: Ask AI to explain a work topic first for a beginner and then for a specialist. Compare the answers.
→10 leçons · environ 90 minutes
L’IA pour moi — programme du cours
Explications courtes → démonstration → pratique → évaluation finale.
How to give AI a good task
Learn a practical prompt structure without collecting “magic prompts”.
Pratique: Rewrite one real task using: context → goal → data → constraints → format.
→AI for text and email
Drafts, editing, tone, summaries and follow-ups.
Pratique: Draft a real business email and manually verify every fact.
→AI for research
Search, comparison and source-aware research.
Pratique: Compare two services using five identical criteria and verify two important claims.
→AI for documents
Summaries, structure, questions, version comparison and checklists.
Pratique: Use a safe sample document and ask for a summary, risks and questions to verify.
→AI for presentations and visuals
Turn a clear structure into a presentation or visual concept.
Pratique: Build a seven-slide outline for a real work topic.
→AI for meetings and productivity
Decisions, tasks, owners, deadlines and next steps.
Pratique: Turn meeting notes into decisions, actions and open questions.
→AI automation
When to use Make, n8n or Zapier—and when not to automate.
Pratique: Describe one repeated process as trigger → input → AI step → review → action → log.
→AI for freelancing, work and business
Turn AI ability into a concrete result people will pay for.
Pratique: Choose one useful result you can complete and show within a week.
→Your personal AI path
Consolidate the course and choose your next tools and practice.
Pratique: Take the final assessment and choose one task for the next seven days.
→Après la leçon 10
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