From Project to Platform: Why I'm Building a Course on AI in Project Management

From personal need to course idea

That was the starting point: I decided to develop the course “AI-Powered Project Management”. A hands-on course that answers the questions I myself had in those situations.

The course shows how AI can be used in projects in a way that benefits the entire team — even without any technical background. It shows how to make the transition from “We're using AI now” to “AI is part of how we work”. And it shows when using AI is truly worthwhile — and when it isn't.

What sets this course apart: the content comes from lived project practice, not from studies or textbooks. Each module is designed around a concrete situation that project managers will recognise.

AI as a thinking tool in course development

I am currently building this course. In doing so, I am using AI more intensively than ever before in my work — not as a copywriter, but as a structured thinking tool.

Claude by Anthropic has proven its worth in this process. Here is what it concretely delivers:

• Developing course structures iteratively and checking them for logical coherence
• Extracting practical scenarios from real project situations
• Reviewing learning objectives for didactic quality
• Checking content for consistency and depth
• Developing phrasing approaches for project management-specific use cases

What makes this particularly notable: Claude structures. And asks counter-questions. “What level of prior knowledge are you writing this for?” or “What specific problem should the learner be able to solve afterwards?”

That forces greater clarity. And clarity before action is one of the most important principles I have taken from years of project work.

What AI truly brings to project management

I am currently living the very topic I am writing about. What I have learned in the process: AI accelerates thinking — but does not replace it.

Claude helps me arrive at well-thought-out course structures more quickly, review content from different perspectives, and sharpen learning objectives. The substantive decision — what the course should truly teach and which practical gaps it closes — remains mine.

The same applies to project management. AI can support risk analyses, speed up reporting, 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.

A course takes shape — I learn along with it

What fascinates me most about this phase: I am building a course on AI in project management while using AI more intensively than ever before. That is consistency.

The course will show how project managers can use AI tools in a targeted way — not because it is currently trending, but because it frees up time for well-founded decisions and effective results.

The course is not finished yet. The project is ongoing. I will continue to report.

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

Then I look forward to the exchange. I write regularly from real project practice about AI, agility and leadership — grounded and with clear insights.

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