Course

Eval, Monitoring, And Observability

Build eval suites, calibrate judges, track safety/cost/latency, instrument traces, and wire CI release gates.

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Modules

5 total

Explain why evals are a durable company asset that survives model and prompt changes.

Write binary rubrics that turn judgment into repeatable checks.

Name AI-specific production risks: prompt injection and improper output handling.

Distinguish observability (production evidence) from offline evals (known cases).