| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Welcome & what you'll build | |||
| 1. Welcome & what you'll build.mp4 | 58 MB | ||
| 10 - Testing the knowledge base with sample prompts | |||
| 11 - Configuring Bedrock Guardrails | |||
| 12 - Testing and Validating Guardrails | |||
| 15. Testing and Validating Guardrails.mp4 | 173.9 MB | ||
| 2 - AWS & Gen AI landscape in 2026 | |||
| 2. AWS & Gen AI landscape in 2026.mp4 | 74 MB | ||
| 3 - Task 1 — RetrieveAndGenerate API (fully managed RAG) | |||
| 3. Task 1.1 — Environment setup.mp4 | 77.5 MB | ||
| 4 - Task 2 — Retrieve API custom RAG with full control | |||
| 5 - Task 3 — RAG evaluation with RAGAS framework | |||
| 6 - Task 4 — Guardrails secure & responsible AI | |||
| 7 - Develop conversation pattern with Amazon Bedrock APIs | |||
| 10. Building Zero-shot Q&A.mp4 | 136.2 MB | ||
| 8 - Building Context-augmented Q&A simulated RAG and Streaming Responses | |||
| 11. Building Context-augmented Q&A simulated RAG and Streaming Responses.mp4 | 94.5 MB | ||
| 9 - Building Secure and Responsible Gen AI with GuardRails for Amazon Bedrock | |||
| 12. Setting Up the Knowledge Base with RAG.mp4 | 142.2 MB | ||
| 9. Environment setup.mp4 | 60.4 MB | ||
| 8. Task 4 — Guardrails secure & responsible AI.mp4 | 116.5 MB | ||
| 7. Task 3 — RAG evaluation with RAGAS framework.mp4 | 223.9 MB | ||
| 6. Task 2 — Retrieve API custom RAG with full control.mp4 | 189.5 MB | ||
| 4. Task 1.2 — Understanding API parameters.mp4 | 93 MB | ||
| 5. Task 1.3 — Metadata filtering & result tuning.mp4 | 158.1 MB | ||
| 14. Configuring Bedrock Guardrails.mp4 | 194.4 MB | ||
| 13. Testing the knowledge base with sample prompts.mp4 | 112.2 MB |
AWS Bedrock Masterclass: RAG, Guardrails & Enterprise AI
https://WebToolTip.com
Last updated 6/2026
Created by Suryansh Gupta
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 15 Lectures ( 1h 43m ) | Size: 1.9 GB
Build, secure & deploy RAG applications using Amazon Bedrock Knowledge Bases, Guardrails, Lambda, and enterprise AI
What you'll learn
⚡ Build a RAG question-answering app using Amazon Bedrock Knowledge Bases, Retrieve API, and RetrieveAndGenerate API with real company data.
⚡ Implement Bedrock Guardrails to filter harmful content, block PII, deny off-topic queries, and meet enterprise compliance requirements.
⚡ Secure Gen AI apps using IAM least-privilege, VPC endpoints, CloudWatch logging, and CloudTrail auditing on AWS.
⚡ Deploy AI applications on AWS Lambda and API Gateway with streaming responses, cost optimization, and provisioned throughput strategies.
⚡ Design multi-turn conversation patterns using Amazon Nova Lite and understand zero-shot vs context-aware prompting for enterprise Q&A.
⚡ Explore Bedrock Agents for building autonomous, multi-step AI workflows
⚡ Understand chunking strategies, vector embeddings, and semantic search inside Bedrock
Requirements
❗ Basic Python skills and AWS fundamentals (IAM, S3, Lambda). An AWS account with Bedrock access enabled. No prior AI or ML experience needed.
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