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Week 5: Pipelines, Experiments, and Continuous Validation · Lesson 5.7

Capstone lab — evaluation pipeline build

Can you build a working evaluation pipeline that runs sampling, judging, aggregation, and reporting?

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

It is 3 AM. The monitoring script will not run until 6 AM. Users have been hitting a broken system for 13 hours and nobody knows. The PM finds out from a VP's angry Slack message the next morning. This actually happens. More often than expected. In L5.6, a monitoring workflow was built that tracks the right metrics and applies the right thresholds. Everything about it is correct. The problem is speed. It runs once a day. And when something breaks at 2 PM, no one finds out until tomorrow morning. This lesson fixes that. Not by replacing what was built; everything from L5.6 still works. The fix is making it faster. Real-time dashboards instead of morning reports. Instant alerts instead of waiting for the next batch run. Statistical drift detection running continuously instead of once a day. This is an advanced optional lab. If L5.6 is complete, the monitoring system is already fully functional. This lesson adds operational speed to that foundation.

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