Module · 1 lessons

Capstone

One final build that brings the whole course together: a complete evaluation and observability harness for Docent — golden dataset, deterministic and judge-based metrics, RAG diagnosis, tracing and cost accounting, and a production gate, all in one runnable pipeline.

At a glance

Level
Intermediate
Lessons
1 lessons
Time to complete
3–4 hours
Cost
Free forever · no sign-up

Welcome to the Capstone, the final stop in the course. Every module built one instrument for understanding Docent. This project puts them on the same bench: a single evaluation-and-observability harness that takes Docent from a raw assistant to one you can measure, explain, trace, and gate — all in one runnable pipeline.

You’ll assemble the versioned golden dataset from Module 2, score answers with the deterministic metrics of Module 3 and the calibrated judge of Module 4, run the RAG diagnosis from Module 5 to separate retrieval failures from generation failures, wrap calls in the tracing and cost accounting of Module 7, and finish with the production-readiness gate and guardrails of Module 8. A final report traces every number back to the module that taught it — the whole course, expressed as one working system.

Start the lesson to build the harness that ties everything together.

Lessons in this module

Achievement

Complete all 1 lessons to finish the Capstone module.

Start module
Sponsor

Keep DATATWEETS free. Help fund practical data, AI, and engineering lessons for learners worldwide.

Buy Me a Coffee at ko-fi.com