Course

Eval Engineering, Inference, And Production Readiness

Ship AI systems you can measure, monitor, and trust in production.

0/5 modules complete0%

Modules

5 total

Define what good means and build representative examples.

Use rubrics, judge calibration, and failure taxonomies.

Track production risk, inference metrics, and runtime budgets.

Inspect traces, token usage, cost, latency, retrieval, tool calls, and guardrails.

Turn capstone artifacts into a CI and monitoring guardrail.