Track 9: LLM Engineering and Production, Evals in Depth

Benchmarks and Their Limits: Contamination, Saturation

Read a leaderboard critically and build a private benchmark instead.

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Agent Testing & Evaluation v2 (update of the live DeepEval course)

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In this module

  1. Eval-Driven Development: Write the Test Before the Prompt
  2. Error Analysis First: Read the Traces, Then Pick Metrics
  3. Golden Datasets and Test Sets That Last
  4. Metrics for LLM Apps: From Code Checks to Rubrics
  5. Tool-Call and MCP Contract Tests
  6. Safety Evals: Jailbreaks, Refusals and Over-Refusal
  7. Human Review Loops: Annotation Queues and Rubrics
  8. Calibrate Your LLM Judge: Human Agreement and Bias
  9. Agent Task-Success Evals: End-State Checks and pass^k
  10. Test Multi-Agent Systems: Handoffs, Loops and Who Broke It
  11. Flaky Evals in CI: Repeats, Thresholds, Baselines
  12. Online Evals and A/B Tests on Live Traffic
  13. Benchmarks and Their Limits: Contamination, Saturation
  14. Capstone: The Agent Quality Platform

The course this lesson belongs to