Will I have to write code?

No. It teaches enough of how models actually work to scope AI features honestly, in the language a PM uses with engineers, without turning you into one.

What will I be able to do afterwards?

Scope AI features with honest capability assumptions, write specs that include eval criteria, and hold credible technical conversations with your ML engineers.

Is it tied to one model provider?

No. The capabilities, limits, and cost trade-offs it teaches apply across the major model families.

lrnit

For product managers

Learn generative AI product sense in a course built only for you. And actually retain it.

Learn enough about how models actually work to scope AI features honestly: what they can do, where they fail, what evals cost, and how to spec an AI product.

Free to start · no account needed

Built around your goal, not a catalog

What your course could open with

lrnit interviews you first (what you know, why you’re learning, how you think), then generates every lesson for that. Sample lessons from a course like yours:

01Tokens, context, and temperature: the model knobs that change your product
02Failure modes as product requirements: hallucination, latency, cost
03The eval-driven spec: defining “good enough” before engineering starts
04Build vs. buy vs. prompt: choosing the thinnest thing that works
…and the rest is generated for you: your gaps, your pace, your job.

Measured, not watched

By the end, you’ll be able to

Scope AI features with honest capability assumptions
Write specs that include eval criteria, not just happy paths
Have credible technical conversations with your ML engineers

What a capability check looks likebeforenow

Scope an AI feature+61

Write eval criteria+64

Talk specs with ML engineers+58

Every lesson ends in assessment. Mastery is tracked per concept with spaced review, and the course adapts to what you actually retain. Finishing means a timed final exam and a verifiable certificate, not a completion badge.

“It felt like the course already knew what I did for a living.”

Early lrnit learner

Questions people ask

Will I have to write code?: No. It teaches enough of how models actually work to scope AI features honestly, in the language a PM uses with engineers, without turning you into one.
What will I be able to do afterwards?: Scope AI features with honest capability assumptions, write specs that include eval criteria, and hold credible technical conversations with your ML engineers.
Is it tied to one model provider?: No. The capabilities, limits, and cost trade-offs it teaches apply across the major model families.

Your version of this course doesn’t exist yet.

Free to start · no account needed

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