By role
Executive, manager, operational: everyone learns what changes their daily work — not a generic curriculum.
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Move 2 · Train — Dotika.Campus
AI transforms nothing until someone knows how to talk to it
The lever isn't the tech — it's the learning. We train your teams on your data and your real cases, never on demo examples.
LLM training · Digital Learning Hub
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People trained
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Companies supported
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The Vibe Coding format
The method
Learning by doing. Not by listening
On your cases
Your data, your tools, your constraints. You leave with usable results, not decorative certificates.
By producing
Every session ends with something that works: a tooled prompt, a workflow, a prototype.
The catalog
Trainings we actually deliver
Not an off-the-shelf catalog: a selection of trainings delivered in companies and with our training partners. A few examples — each one adapts to your teams, your tools and your data.
Best-seller
Vibe Coding
from idea to application in 2 days
Describe what you want to build, AI generates the code, you stay in control. Two intensive days in a small group to design, build and ship a real application to production — no technical background required. Includes 1 year of Vibe Coding Club access.
- Audience
- Managers, executives, entrepreneurs, consultants — no technical prerequisites
- Duration
- 2 days (14 h)
- Price
- €1,750 excl. VAT / person
Pick a journey: the route lights up on the map.
Click a station to open the full page — curriculum, outcomes, tools.
01
Adopt
Discovery → your first agentsThe no-prerequisites line, where you climb in autonomy: understand AI, choose your assistant — Copilot, Claude or Mistral, we train on your stack —, build your first application with Vibe Coding ★, then delegate to an autonomous agent. The Professions branch serves Marketers and Finance & Insurance, and ends at the station "Yours?" — the one we build with you.
02
Build
The Python on-ramp → complete LLM systemsThe builders' line: every station is the explicit prerequisite of the next. The Python & data on-ramp to get aboard, models built from scratch to understand them from the inside, then LLM & RAG systems ready to scale. At the end of the line, direct interchange with line 03: the RAG system built here is exactly the one industrialised there.
03
Industrialise
The rules → hardened prodWhat separates a demo from a system in production: know the rules (AI Act) before you ship, make environments reliable (Nix), operate at scale (MLOps), then attack your own systems to defend them — nobody reaches the PROD terminus without clearing the security checkpoint.
Where to start
Not sure which path?
The diagnostic locates your AI maturity and points you to the training that will have the most impact for your teams.