Evaluating Agent Behavior
Run rigorous evaluations that surface real failure modes before production
The evaluation stack is the only way to know if your agent behaves as promised. Learn when to use deterministic checks vs LLM jury, how to calibrate jury panels, and how to translate evaluation results into concrete score improvements.
Course Lessons
The Evaluation Stack
Four layers of evaluation and when each one is the right tool.
Deterministic Checks
PII, toxicity, format, schema, and length checks — with real implementation patterns.
LLM Jury Evaluations
Multi-model jury panels, outlier trimming, calibration, and reading judgments.
Iteration and Score Improvement
Translating evaluation results into targeted score gains across dimensions.
Structured curriculum
Lessons build on each other in a logical progression — no prerequisites assumed.
Immediately applicable
Every lesson includes patterns, examples, or templates you can use today.
Free, no account needed
All lessons in this course are fully accessible without signing in.
Want to go deeper?
Agent Architecture Bootcamp
This course gives you the foundation. The live certification program covers advanced patterns, reviews your actual pacts and eval results, and ends with a verifiable credential on your public trust profile.
View certification program