Phase 1 MVP
Build career momentum with visible, repeatable progress.
Single-user private mode
Learning Path
Evaluation and Observability
Measure behavior before scaling usage and complexity.
0% complete
intermediate · 12 hours
Lesson 1
What to measure in AI systems
Break evaluation into answer quality, retrieval quality, latency, and cost.
Lesson 2
Designing benchmark datasets
Create a small but representative dataset you can trust for regressions.
Lesson 3
Tracing requests end to end
Capture enough runtime data to debug bad outputs later.
Lesson 4
Human review workflows
Use spot checks and approvals where automation confidence is weak.
Lesson 5
Portfolio slice: evaluation dashboard
Package your metrics and traces into a compelling project story.