AI Evals For Engineers & PMs
Eliminate guesswork in AI products by learning how to design, run, and trust rigorous evaluations.
Perfect for: Engineers, data scientists, and product managers who are building AI applications and need reliable, repeatable ways to measure quality.
In this flipped classroom course, you learn practical techniques for designing application centric evals that go far beyond simple prompt experiments or vibe checks. You learn how to collect the right data, run systematic error analysis, and build eval suites that make model changes safer and more predictable.
Through live sessions, office hours, homework, and a detailed course reader, you develop an intuition for when to write an eval, how to align it with stakeholders, and how to connect it to real product outcomes. By the end, you can speak confidently about AI quality, failure modes, and evaluation strategy with both engineering and leadership.