Not an off-the-shelf course. You train on your own tasks.
- Industry
- across industries
- Period
- ongoing offering
- Framework
- EU AI Act, Article 4
Starting point
Article 4 of the AI Act requires providers and deployers of AI systems — that is, every company that uses AI in its operations — to take measures to promote the AI literacy of their staff. Since July 2026 the obligation has been eased: no one has to guarantee a particular level of literacy any more. That leaves open the question of which measure is enough. A standard course answers it on paper. In everyday work it changes little: anyone who sits through a general introduction returns to a workplace where none of it applies.
Approach
We find out beforehand what people actually work with — which tools are approved, which tasks cost time, which data is involved. The training material follows from that: examples from the company itself instead of generic demos. The legal framework, risk categories and data classification stay fixed; everything else is built anew for each client.
The training does not run on a slide deck but in a dedicated live online system.
Practising instead of watching
Participants work in a provided environment with real models on their own tasks. Every input is assessed immediately against fixed criteria — traffic-light feedback that shows what the issue is, not just that it could have been better.
The evidence comes along the way
A knowledge check closes the session. Attendance and result are documented — the evidence that measures under Article 4 have been taken, without additional administrative work after the training.
Result
Participants leave with prompts from the training that they can reuse the next day, and with a clear idea of what may go into which tool. The measures under Article 4 are documented — as a by-product, not as a project of its own.
Competence is not a 50-page slide deck. Competence is training. Train as you fight.
What we take from it
Article 4 can be met cheaply or usefully. Now that no particular level is prescribed any more, it matters all the more whether a training makes a difference in everyday work. That does not depend on the length of the course, but on whether the examples come from the company itself and whether the participants type for themselves.