Two different jobs: using AI vs building AI

The phrase "AI for product managers" hides two very different jobs, and confusing them is common. This course teaches both because most PMs now need both — but they call on different skills, so it helps to name them.

Job one: using AI as a PM. This is AI as your personal productivity layer — the tools you use to synthesize research, draft a PRD, analyze data, or prototype an idea. The product you work on may have nothing to do with AI; you are simply using AI the way you use a spreadsheet or a design tool. The skill here is workflow and prompting: knowing which tasks to hand off, how to give the model enough context, and how to check its output. Modules 2 and 3 are about this job.

Job two: building AI into your product. This is AI as a feature you ship to your users — a summarization button, a chat assistant, a recommendation engine, an agent that takes actions. Here you are not the user of AI; you are the PM responsible for an AI-powered experience other people depend on. The skill is product judgment about a probabilistic technology: deciding whether AI even fits the problem, designing for the reality that it will sometimes be wrong, measuring quality with evals, and managing risk around hallucination, privacy, and cost. Module 4 is about this job.

Why both matter now. Even if your current product has no AI in it, using AI well makes you faster and more valuable. And even if you never planned to be an "AI PM," the odds that a feature request involving AI lands on your roadmap keep rising — so the ability to evaluate whether and how to build it is fast becoming table stakes. A PM who can do job one but not job two ships AI features naively. A PM who can reason about job two but never uses AI themselves is slower than peers who do.

They reinforce each other. Using AI daily builds an honest intuition for what it is good and bad at — and that intuition is exactly what you need to make good build decisions. The PM who has watched a model confidently invent a citation is far better equipped to insist on evals before shipping a customer-facing assistant.

Recap. "AI for PMs" is two jobs: using AI to do your own work faster (a workflow-and-prompting skill, covered in Modules 2 and 3) and building AI into the products you own (a product-judgment skill for a probabilistic technology, covered in Module 4). You need both now — using AI makes you faster and builds the hands-on intuition that makes your build decisions sharper. This course deliberately teaches both halves.