From Project to Platform: Why I Built a Course on AI in Project Management

From personal need to course idea

The course “Managing projects with AI” grew out of questions that kept coming up in my projects: where does AI actually help, where does it just create extra work, and how do a few individual experiments become a way of working the whole team shares?

The course is about using AI in projects so that the whole team benefits, without needing a technical background. It covers how to get from “we’re using AI now” to “AI is part of how we work”, and when AI is worth using and when it isn’t.

The content comes from real project work, not from studies or textbooks. Each module is built around a specific situation that project managers will recognise.

Who is responsible for what

I am responsible for the course’s subject matter, its teaching design and its content. What goes into it, which situations the exercises reflect, what a good answer is measured against and which gap in practice each module should close: those decisions come from my own project and training work.

AI supports me in this, in the same way the course recommends for project work: as a tool that helps with structuring, checking and asking questions back. In practice that means:

• checking course structures for gaps and breaks in the logic
• testing whether learning objectives are worded so they can be checked
• reviewing content for contradictions and missing steps
• drafting alternative wordings for me to choose from

The most useful part is the questions it asks back: “What prior knowledge is this written for?” or “What specific problem should the learner be able to solve afterwards?” Questions like these force more clarity, and clarity before action is one of the most important principles I have taken from project work.

What this means for AI in project management

The lesson carries over: AI speeds up thinking, but it does not replace it. It helps you reach a well-considered draft faster and look at it from several angles. Deciding what in it is right stays with the person who is accountable for it.

Project management works the same way. AI can help you collect risks, prepare reports and simplify communication. It does not replace the conversation with the stakeholder, the feel for team dynamics or the judgement call in a critical project situation.

The course today

“Managing projects with AI” is now available. It teaches you to use AI tools where they free up time for decisions, and to leave them out where they don’t. Every exercise is assessed by Kai, the AI learning assistant, against a rubric that is set in advance. View the course

Are you working on AI projects yourself or facing similar questions?

Then I would be glad to hear from you. I write regularly about AI, agility and leadership, drawing on real project work.

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