lrnitFor developers

Learn AI agent engineering in a course built only for you — and actually retain it.

Move past chat wrappers. Learn the architecture of real AI agents: tool calling, orchestration loops, memory, evals, and the failure modes that kill agent products.

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:

01The agent loop: model, tools, and state — what actually happens per turn
02Tool design: schemas the model can’t misuse
03When agents lie: grounding, verification, and structured outputs
04Evals before scale: measuring agent quality like an engineer
…and the rest is generated for you: your gaps, your pace, your job.

Measured, not watched

By the end, you’ll be able to

Design agent architectures that degrade gracefully, not catastrophically
Write tool definitions that models call correctly
Stand up an eval harness before your users become your eval harness

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

Your version of this course doesn’t exist yet.

Free to start · no account needed