A course generated for you: learn YOUR AI, not AI in general
pedagogical innovation · 7 min · interactive article ✦
Most AI courses serve you the same lesson as everyone else: the same examples, the same vocabulary, the same case study about a company that isn't yours. They teach you "AI in general". Yet what sticks is what resembles you. IAPLC's innovation fits in one sentence: the content is generated by AI from your profile — your role, your sector, your real projects.
Take Sarah
Sarah is a Product Owner in luxury. Her leadership wants "AI" in the customer experience of their clienteling app, and she doesn't know where to start. She and a developer from a consultancy take the same concept — RAG. Here's what each of them reads:
"RAG (Retrieval-Augmented Generation) connects an LLM to an external document base to improve answer relevance. Example: a company chatbot answering from a FAQ."
→ Correct, but lukewarm. Sarah reads, understands, forgets. Nothing hooks her to HER daily work.
"Your clienteling app knows your 400,000 product records and each client's purchase history. Without RAG, the AI assistant answers 'in general'; with RAG, it answers from YOUR data — 'this client bought this bag, here's the matching pouch still in stock'. RAG is what turns a gadget into a clienteling tool."
→ Same concept, but it's HER app, HER job, HER stake. She won't forget it.
What's fixed, what's generated
Personalizing doesn't mean improvising. The backbone stays rigorous; only the wrapping adapts.
a stable backbone, a generated wrapping — personalization serves the pedagogy, it doesn't replace it
test yourself
Why is the same concept "generated for Sarah" more effective than a generic course?
✓ We remember and act on what resembles us. The concept is the same — it's its framing in YOUR reality that makes the difference.
It's neither length nor "the AI knows better": it's the anchoring in your real context. Try again.
take it with you · free
The principle on one page (PDF)
"Learn YOUR AI, not AI in general": the memo summarizing what's fixed, what's generated, and why personalization makes people learn faster. Share it with your L&D team or HR. Leave your email, or download directly.
A course whose content (scenes, examples, practical cases) is produced by AI from the learner's profile — their role, sector, real projects — rather than being identical for everyone. The concepts stay the same; it's their situation that is personalized.
Does generated content stay serious and coherent?
Yes: the progression, objectives and target competencies are fixed and aligned with a reference framework. The AI personalizes the wrapping around a stable pedagogical backbone, with guardrails and hand-written fallbacks.
Why is it better than a classic course?
Because we remember what resembles us. An example drawn from your own daily work anchors a concept far better than a generic case. Personalization boosts attention, retention and action.
Your path doesn't exist yet. It will be written for you.
30 levels generated from your role, your sector and your real projects. Like Sarah, you don't learn AI in general — you learn your own.
Monday, 9am. Your clienteling director stops you by the coffee machine: "the sales team would love an assistant that really knows our products and our clients. Can we do that?"
"Not a chatbot that answers off-topic, mind you. Something that talks ABOUT our collections."
Your data
product records, histories
⇅
RAG
the AI answers from it, with sources
⇅
The clienteling assistant
useful, not a gadget
Spot the fakeCard sortingClearest definition+20 pts
illustrative excerpt — for a consultancy developer, the same level 11 would be written around THEIR data and THEIR project.