LLM Evaluation
Measure RAG and LLM quality before and after shipping.
Maturity level: L2 — Can Build
Six perspectives on LLM Evaluation
Roadmap
Learn right after RAG — before calling a GenAI system production-ready.
Architecture
Quality gate between development and deployment.
Company
Among the fastest-growing requirements in LLMOps postings.
Projects
Eval suite for every LLM feature.
Interview
Metrics, tradeoffs, and failure analysis.
Career
LLMOps engineer core skill.
What & Why
What: Frameworks and metrics for evaluating LLM outputs, RAG faithfulness, and latency.
Why: You cannot improve what you do not measure — eval is core LLMOps.
Build this
Eval harness for a RAG app with faithfulness, relevance, and citation checks.
Production reality
- ! Flaky LLM judges
- ! Eval set rot
- ! Overfitting to benchmarks
Interview preparation
- How do you evaluate RAG?
- Offline vs online eval
Connected skills
Explore LLM Evaluation in the interactive universe or train with live cohorts.
Want this LLM Evaluation learning path turned into your own plan?
A roadmap shows the destination. In 1:1 mentorship I turn it into a week-by-week learning path for your background, review your projects, and prepare you for interviews until you land the role. Online, in your time zone.
Start with one 60-minute 1:1 call: .
Prefer a structured live course? Join the MLOps · AIOps · LLMOps · Agentic AI masterclass →