Geo Ivanov · AI expert for leaders and companies, creator of Geo Executive Coach · 18 October 2026
The supply of AI training has exploded. Much of it looks the same: a day of tool presentations, a few spectacular demos and a certificate. Two weeks later the team works exactly as before. These are the questions I would ask any provider, including me.
1. Does the course start from our work?
Good training starts with a conversation about your processes, roles and tools and, ideally, a questionnaire for participants. If the provider asks you nothing beforehand, the course is generic.
2. What examples do we work on?
The examples should come from your company: a real report, a proposal, a hiring process, not “write a poem about coffee”.
3. How much is practice and how much is presentation?
People learn AI by using it. Ask for the ratio and ask to see an exercise from the programme.
4. What stays with us afterwards?
Materials you can edit and use: prompts by role, documented workflows, a plan for the first weeks.
5. Do you include usage rules?
What data may go into an AI tool, who checks the output, what the EU AI Act means for you. Without this, people either don’t use AI or use it riskily.
6. What happens after the course?
Questions come up afterwards, when people try on their own. A serious provider answers questions for a while and comes back for a follow-up session.
7. How big is the group?
Beyond a dozen people, hands-on exercises become hard to follow. Small groups work better.
How I answer them
I design my in-company AI training around these seven questions. Ask me the same ones when we talk: you should get a clear answer to each.