# MLOPs and Guardrails Day 1 Lecture

> In this lesson, Zach dives into the critical topic of guardrails for ensuring LLM quality in production. He explores the various risks associated with LLMs, such as jail-breaking, prompt injection, and handling sensitive data, while emphasizing the importance of both input and output guardrails. Za…

- Web page: https://www.dataexpert.io/lesson/ml-ops-day1-lecture-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: 35 min video
- Academy: DataExpert.io Academy

## About this lesson

In this lesson, Zach dives into the critical topic of guardrails for ensuring LLM quality in production. He explores the various risks associated with LLMs, such as jail-breaking, prompt injection, and handling sensitive data, while emphasizing the importance of both input and output guardrails. Zach discusses effective implementation strategies for these guardrails, including the use of middleware and moderation APIs.

## Navigation

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