The AI Project Manager: My PMI-CPMAI™ Journey

Post 2 — What the Course Actually Taught Me

By Martin Bergmann | AI Project Lab | July 2026

Six modules and one completed course later, three details changed how I think about generative AI projects.

First: operationalization and data preparation took up more of the course than I expected. The volume of work in data preparation alone, cleaning, labeling, verifying quality, structuring for training and testing, is closer to what a data engineer does daily than what most PM training prepares you for. That is not a complaint. It is the actual shape of the discipline.

Second: the material points out that some generative AI models need to be evaluated for running on edge devices with no internet connection at all. That is not the default mental model most of us carry: an API call to a hosted model in the cloud, prompt out, response back. If the AI has to run in a factory with no signal, or inside a system that cannot connect out for compliance reasons, the model has to be smaller, updates cannot happen automatically, and monitoring has to happen on the device itself. The question I am now adding to every AI conversation: Does this need to work without a connection? Ask it in week one, because the answer changes the data preparation plan, the model choice, and how the project gets operationalized.

Third: the course puts real weight on trustworthy AI, and that weight keeps increasing rather than settling. Bias, explainability, transparency, and failure handling are not a checkbox module you complete once. They show up again in operationalization, again in monitoring, again in every iteration review. The framework treats governance as a continuous obligation, not a gate you pass through in phase one. That tracks with where I think the whole discipline is heading. As AI moves from pilot to production to embedded infrastructure, the question stops being can the model do this and becomes who is accountable when it does not.

My exam is next. Post 3 will cover how it went!

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Martin Bergmann is the Director of an IT PMO and founder of the AI Project Lab. He writes about AI, project management, and the future of intelligent work.