May 14
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🚀 Watch me build a real AI chatbot powered by AWS Bedrock that answers questions using your own data — live, scalable, production-ready. 💬 By the end, you’ll have a working RAG system with FastAPI + Lambda + Python running on AWS. 🔥 DevOps Career Boost 🚀 Linux Foundation Certifications – 30% OFF 💥 Get 30% OFF Linux Foundation Courses & Certifications COUPON CODE: CLOUDGURU ☸️ Top Kubernetes Certifications (HIGH DEMAND) 👉 Enroll here for CKAD: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/?source=aw&sv1=affiliate&sv_campaign_id=2797056&awc=85919_1773067559_bfa5e6ace1397c69f68bfb64ff35fa1f 👉 Enroll here for CKA: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka/?source=aw&sv1=affiliate&sv_campaign_id=2797056&awc=85919_1773067536_a1f91345cf951dbbbecaad9281bf8434 👉 Enroll here for CKS: https://training.linuxfoundation.org/certification/certified-kubernetes-security-specialist/?source=aw&sv1=affiliate&sv_campaign_id=2797056&awc=85919_1773067517_4a35c19ecd7d600840ae4908a59308e7 👉 Enroll here for Kubestronaut Bundle: https://www.awin1.com/cread.php?awinmid=85919&awinaffid=2797056&ued=https%3A%2F%2Ftraining.linuxfoundation.org%2Fcertification%2Fkubestronaut-bundle%2F 👉 Enroll here for Kubestronaut to Golden Kubestronaut Upgrade Bundle: https://www.awin1.com/cread.php?awinmid=85919&awinaffid=2797056&ued=https%3A%2F%2Ftraining.linuxfoundation.org%2Fcertification%2Fkubestronaut-to-golden-kubestronaut-upgrade-bundle%2F 👉 Enroll here for Golden Kubestronaut Bundle: https://www.awin1.com/cread.php?awinmid=85919&awinaffid=2797056&ued=https%3A%2F%2Ftraining.linuxfoundation.org%2Fcertification%2Fgolden-kubestronaut-bundle%2F 👉 Enroll here for all courses and certifications: https://www.awin1.com/cread.php?awinmid=85919&awinaffid=2797056 🔥 Join our Cloud Guru WhatsApp Community https://www.whatsapp.com/channel/0029Va8fH154IBhEu3t21y2o 🔥 Join our Cloud Guru Medium Page https://cloudguru.medium.com/ ☁️ Managed Cloud Hosting Deals 👉 Get CloudWays https://www.cloudways.com/en/?id=1365224 💥 CloudWays Coupon Code: CLOUDGURU25 Get 25% OFF for 3 months. 🚀 Try xCloud Hosting https://xcloud.host?fpr=cloudguru 💥 Get $200 FREE credits on signup. ╔═╦╗╔╦╗╔═╦═╦╦╦╦╗╔═╗ ║╚╣║║║╚╣╚╣╔╣╔╣║╚╣═╣ ╠╗║╚╝║║╠╗║╚╣║║║║║═╣ ╚═╩══╩═╩═╩═╩╝╚╩═╩═╝ In this video, you’ll learn how to build a Retrieval-Augmented Generation (RAG) chatbot using: AWS Bedrock (LLMs) Python backend AWS Lambda for serverless execution FastAPI for API layer Vector search + embeddings This is not just theory — we build a real-world AI system architecture that companies are actively hiring for. 🔥 What you’ll learn: How RAG architecture actually works Integrating LLMs with your own data Building scalable APIs using FastAPI + Lambda Designing production-ready AI systems on AWS Avoiding common mistakes in AI system design 💡 Why this matters: Companies are moving beyond basic AI usage. They want engineers who can build end-to-end AI systems with cloud + data + APIs. This video positions you for: AI Engineer roles Cloud + GenAI roles Backend + ML system design interviews ⏱️ Chapters: 00:00 - Workshop Introduction & Overview 01:11 - Architecture & Serverless Design 01:46 - Setting up Admin User & IAM Roles 02:24 - Launching the CloudFormation Stack 05:10 - Creating Your First Bedrock Agent 08:15 - Configuring Action Groups & API Schemas 10:30 - Testing the Product Recommendation Agent 13:09 - Adding Cart Action Functions 16:24 - Testing Cart Functionality 19:01 - Integrating Amazon Personalize for Recommendations 25:30 - Implementing Gift Wrapping Knowledge Base (RAG) 27:36 - Synchronizing Data Sources 30:35 - Testing the Knowledge Base Integration 33:32 - Setting up Multi-Agent Collaboration 37:29 - Creating the Cart Management Agent 41:35 - Configuring the Supervisor Agent 46:40 - Final End-to-End Multi-Agent Test 51:35 - Resource Cleanup & Cost Management 55:00 - Troubleshooting: Lambda Concurrency & IAM Issues 💬 Want the code + architecture diagram? Drop a comment and I’ll share it. #aws #generativeai #RAG #aiengineering #python #cloudcomputing #fastapi #machinelearning