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Week 5: Pipelines, Experiments, and Continuous Validation · Lesson 5.1

Evaluation pipeline architecture and environments

How do we operationalize evaluation so it is repeatable, queryable, and tied to outcomes?

Retired course. Due to the fast pace of AI, this course was retired before full release. Exercises, datasets, and videos referenced in this lesson are not available. The slide content and frameworks remain free to study.

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Reader Notes

Week 5 is where evaluation becomes infrastructure. The previous weeks covered building metrics, testing judges, and writing specs with release criteria. Now the focus shifts to a system that runs those evaluations, stores the results, and makes them queryable. This lesson is about turning evaluation from "a notebook someone ran once" into persistent infrastructure that supports ship decisions. Not just running evals, but building the system that makes evaluation repeatable, comparable, and defensible. That is the shift this lesson makes: from ad-hoc analysis to infrastructure.

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