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AI for product and project managers
Discovery, specifications, analysis and tickets with AI, without losing control: what to delegate to an agent and what to check line by line. With the agentic workflow I use every day.
For PMs, POs, PMOs
Learning artificial intelligence at workAI is learned on real work.
A generic prompting course does little. What I’ve seen work, in teams and communities, are hands-on sessions on real cases and tools, with one goal: leave with something that works and know how to do it again on your own.
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Four formats that work
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From idea to prototype with agents
A real problem, a working prototype with Claude Design and Claude Code, a test with users and a decision. All in the same day.
For product and innovation teams
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AI literacy for teams
What generative AI can do and where it goes wrong, which data never to enter, how to check an answer. Designed for the Article 4 AI Act obligation and adapted to roles.
For every function
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Adoption and champions
How to build a network of champion colleagues, which adoption KPIs to measure and how to collect them without monitoring people.
For anyone introducing an AI tool
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What works in the room
You work on real cases and tools, and at the end there’s always a result to take away.
- 1On real casesBefore the session, two or three real tasks from the team are chosen. Those are the exercises, not textbook examples.
- 2With real toolsThe tools the company uses or can use, with the rules on data and privacy made clear at the start.
- 3With a resultA prototype, a documented workflow or a verification checklist: something that stays with the team.
- 4And a measureFor adoption programmes, simple KPIs to see after a few weeks whether AI has become part of the work.
- TalkProduct Heroes’ Product Week, B4i – Bocconi for InnovationOpen mic on how I use AI in my work as a product manager, with staged.ai as the case study. Milan, 21 May 2026. The event
- QuizPMI-CPMAI certification revisionA NotebookLM quiz with several difficulty levels, for anyone preparing for the exam. Try the quiz
- InterviewsIl Lato Umano dell’AI (The Human Side of AI)Conversations with Italian practitioners and researchers on people, responsibility and trust in AI. The interviews
- CommunityMeetups of the Italian community of Lenny’s NewsletterI organise gatherings for product managers on product and AI.
FAQ
Frequently asked questions
Is there an artificial intelligence course for project managers?
Yes, there are several. It’s worth choosing one that works on discovery, specifications, analysis and tickets, and that teaches what to delegate to an agent and what to check. As a method reference there’s PMI-CPMAI, the Project Management Institute’s certification for AI projects.
Is AI Act training mandatory for all companies?
Article 4 of the AI Act, in force since 2 February 2025, applies to providers of AI systems and to those who use them professionally. In practice it affects almost every company whose employees use tools such as ChatGPT, Copilot or Claude for work. The rule requires a sufficient level of literacy, adapted to roles.
Is an online course or an in-company workshop better?
An online course is fine for the basics. An in-company workshop is useful when the goal is to apply AI to the company’s processes: you work on real cases, with the internal rules on data and tools, and the team leaves with a concrete result.
What’s the difference between a prompting course and an adoption workshop?
A prompting course teaches you to use a tool. An adoption workshop works on what changes in the team’s work: which tasks to hand over to AI, how to check the results, how to measure whether the tool is really being used.
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Contact
Shall we talk?
Are you organising a meetup, a community event or a podcast on these topics? Write to me.
vsemeraro@gmail.com