This lab is currently in Beta — content may be updated as we refine the material
LABINTERMEDIATE

Implement Guardrails System

Build production guardrails for AI safety including input validation, prompt injection detection, and output filtering.

60 minutes
ai-infrastructure/safety
Implement Guardrails System - Platform Engineering Hands-On Lab Icon

Lab Overview

This hands-on lab teaches you to build production guardrails for AI safety.

You'll learn to:

  • Implement input validation guardrails for length and content
  • Create prompt injection detection patterns
  • Build output filtering for sensitive content
  • Test guardrails against attack patterns

What You'll Learn

Implement input validation guardrails for length and content

Create prompt injection detection patterns

Build output filtering for sensitive content

Test guardrails against attack patterns

Prerequisites

Python programming fundamentals

Understanding of LLM APIs

Basic security concepts

Technologies Covered

guardrailssecurityvalidationllmsafetypythonmlops

Part of a Course

This lab is part of the AI Safety and Guardrails course

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  • Video lessons with closed captions
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Hands-On Labs

  • Browser-based cloud labs
  • Pre-configured VMs ready to use
  • Playgrounds for experiments
  • Multi-VM realistic scenarios

AWS Integration

  • Managed AWS Account included
  • Pre-configured environments
  • Real-world cloud scenarios

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  • Priority support
  • Active community forum

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  • Everything runs in your browser
  • No software installation needed
  • Automatic environment provisioning
  • Works on any device

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