Artificial Intelligence

Implementing Guardrails with NeMo or LlamaGuard

Companies are terrified of their AI going off-script. Build a pre-processing layer that filters user intent and a post-processing layer that validates AI output before the user sees it.

Level: AdvancedArtificial Intelligence

What You'll Learn

Why production AI needs input and output guardrails
NeMo Guardrails architecture and colang syntax
LlamaGuard for intent classification and safety scoring
Pre-processing layer: filtering harmful user intent
Post-processing layer: validating AI output before display
Building a dual-layer safety pipeline
Testing guardrails against adversarial prompts

What's Included

🧭AI Tutor🔒

Interactive learning path with AI-generated lessons read aloud by your personal tutor

🧪Practice Lab🔒

Step-by-step lab instructions with AI guidance — run in your own IDE or sandbox.

🎙️Mock Interviews🔒

AI interviewer asks tailored questions, gives real-time feedback and a score report

📝Evaluation🔒

MCQ questions (theory, practical, code) to test your knowledge and earn a badge

⚔️Challenge AI🔒

Compete head-to-head against AI on real production problems — judged on correctness, performance, scalability, code quality, and edge cases

Course Syllabus

Module 1: Why Guardrails Matter

  • •Real-world AI failures from missing guardrails
  • •Input threats: prompt injection, jailbreaks, off-topic queries
  • •Output risks: hallucinations, harmful content, PII leakage
  • •Compliance and legal implications for enterprises
  • •Overview of NeMo Guardrails vs LlamaGuard

Module 2: Pre-Processing — Filtering User Intent

  • •LlamaGuard: intent classification categories
  • •Scoring user input for safety before calling the LLM
  • •NeMo Guardrails: colang rail definitions
  • •Topic restriction rails: keeping AI on-script
  • •Handling blocked requests gracefully in the UI

Module 3: Post-Processing — Validating AI Output

  • •Output validation: fact-checking, PII detection, toxicity
  • •LlamaGuard output classification pipeline
  • •NeMo output rails: blocking unsafe responses
  • •Latency impact of dual-layer guardrails and mitigation
  • •Capstone: end-to-end guardrail pipeline for a customer support bot

You're all set

Everything in this course is unlocked.

Continue Learning →
✓AI Tutor
✓Practice Lab
✓Mock Interviews
✓Evaluation
✓Challenge AI