People learn AI by using it on their own work, next to someone who has shipped it.
Why most AI training doesn’t stick
A two-hour webinar about prompting, a certificate, and back to work as before. Without practice on real tasks, the knowledge is gone within weeks. And a mixed audience means the engineers are bored and the leaders are lost.
How we train
By role. Engineers build: retrieval, tools, evals, an agent with guardrails, and how to ship it. Product people learn what models can and cannot do, how to specify AI features, and which metrics matter. Leaders learn where AI pays off, how to judge risk and the AI Act, and how to manage a portfolio of bets. Every session includes a lab with real tools.
Every session includes a lab with real tools.
What stays
Materials and templates your team can reuse and hand to new hires, optional homework, and office hours for the questions that come up in real work. It is also the practical way to meet the AI literacy duty in Article 4 of the AI Act. If the team needs hands-on project help afterwards, that is consulting, and we will say so.