AI Guardrails & AI Security - AI Agents, Red Teaming HandsOn

About this course

77% of enterprises faced Generative AI breaches last year (IBM 2025). This hands-on course teaches you to deploy production guardrails against prompt injection, hallucinations, and cyber attacks using Llama Guard 3, AWS Bedrock, and CrewAI. Master open-source frameworks like GuardrailsAI, Nemo Guardrails, and Haystack to secure real AI applications. What You'll Learn: 1. GUARDRAIL FRAMEWORKSNemo Guardrails: Production-grade dialog management & intent filtering

GuardrailsAI: RAIL specs, validator policies, output structuringAWS Bedrock Guardrails: Enterprise content policy configuration

Haystack Evaluators: RAG faithfulness/SAS metrics

Llama Guard 3: Multimodal (vision+text) jailbreak detection2. SECURITY TESTING TOOLSGarak: Red Teaming to scan LLM vulnerability (encoding/XFilteration/profanity)CrewAI + OWASP ZAP: Scan Web Vulnerabilities with AI-powered web penetration testing

Prompt-Guard: Real-time injection attack blocking3. PLATFORMS & MODELSAWS Bedrock: Cloud-based guardrail deployment

Hugging Face: Access to phi3/prompt-guard models

Phi-3.5-vision-instruct: Multimodal safety enforcementphi3-hallucination-judge: Hallucination scoring engine

FastRAG: Secure retrieval-augmented generation pipelines

Below is the course details 1. Input Security Guardrails

Nemo Guardrails: Dialog management for intent-based filtering

Llama Guard 3

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