# MLOPs and Guardrails Day 2 Lab

> In this lab, Zach covers evaluation criteria, tests the RAG system, and explores auto-prompt optimizations. He demonstrates how to test the RAG system using semantic searches and sets evaluation criteria for expected results. Zach emphasizes the importance of integrating these tests into the CI-CD…

- Web page: https://www.dataexpert.io/lesson/ml-ops-day2-lab-oct25
- Program: [AI Engineering Boot Camp starting October 20th, 2025](https://www.dataexpert.io/program/the-ai-engineering-challenge-starting-october-20th-2025)
- Access: Requires enrollment in AI Engineering Boot Camp starting October 20th, 2025
- Length: 1 h 16 min video
- Academy: DataExpert.io Academy

## About this lesson

In this lab, Zach covers evaluation criteria, tests the RAG system, and explores auto-prompt optimizations. He demonstrates how to test the RAG system using semantic searches and sets evaluation criteria for expected results. Zach emphasizes the importance of integrating these tests into the CI-CD pipeline to ensure robustness. Additionally, he showcases how to optimize prompts using AI-generated suggestions, which results in improved accuracy in the database analytics agent.

## Navigation

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