Tile 04 · Understanding and using AI
Understand first, then decide. AI without the hype.
Whether your team starts from zero or is already experimenting: we explain what is actually behind AI, where it pays off and where it only creates work — in plain language, on your own examples.
AI workshops
Management advisory
Local models
Formats
Four formats — from first steps to real depth.
01
AI fundamentals
From machine learning to LLMs — digestible, with no prior knowledge.
02
Management advisory
Where AI pays off, where it doesn't — and what that means.
03
Hands-on session
Running models locally: Ollama, vLLM, open weights.
04
Trend update
What is genuinely changing — and what is merely noise.
Curriculum
From your first prompt to your own server.
How does AI actually work?
Machine learning, neural networks, transformers, LLMs — the terms everyone uses, explained properly for once. A little math, group simulations and pictures that stick.
What can LLMs do — and what not?
Prompting that works reproducibly, RAG over your own documents — and an honest look at hallucinations, limits and how to check results.
Where does AI pay off for us?
Finding and rating use cases, build versus buy, data protection and the EU AI Act, expectations kept on the ground — and a roadmap that fits your budget.
Own models instead of a cloud API?
Running models locally with Ollama or vLLM, picking open weights, judging hardware realistically — and knowing when data sovereignty and cost justify it.
“We want to understand AI, not just use it.”