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Course 5: Agent Observability, Evaluation, and Quality Engineering
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What you will learn
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(a) Trace every agent step with OpenTelemetry-compatible tooling
(b) Evaluate retrieval and generation separately with DeepEval and RAGAS
(c) Write behavioral contracts and generate synthetic test sets from them
(d) Use LLM-as-judge and audit it against human raters with Cohen's kappa
(e) Gate releases on quality thresholds in CI
Why take it
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(a) Agents fail silently and intermittently; instinct is not enough
(b) Gives you a reusable evaluation harness and shared vocabulary with product and compliance teams
What makes it unique
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(a) Treats agent quality as engineering, with CI gates rather than vibe checks
(b) Includes a live drift scenario: a defect is seeded, an alert fires, and you walk the trace to the root cause