Deploy AI Apps on AWS: Bedrock to Production
Saurav Sharma
ex-amazon engineer | Builder | Educator
Go from zero to a live, deployed AI app on AWS in one weekend
Most AI courses teach you theory. This one gives you a live app on a real URL by Sunday evening.
Over two intensive days, you'll build a production-ready AI application using AWS Bedrock, Lambda, DynamoDB, CloudFront, and Route 53 — with Claude Code as your development copilot the entire way.
I'll show you the exact architecture behind my own apps — EarnYeti.com, app.CloudYeti.io, and learn.CloudYeti.io — then guide you through building and deploying your own. No slides-heavy lectures. No toy demos. You build, you deploy, you ship.
What you’ll learn
Build and deploy a production AI app on AWS using Bedrock and Claude Code — from first API call to live URL in one weekend.
Set up AWS Bedrock, select Claude models, and make your first AI API call — all guided step-by-step in a live session
Use Claude Code to write, debug, and iterate on your app without needing prior coding experience
Walk through the real architecture behind EarnYeti.com and CloudYeti.io as working case studies
Build a production backend with Lambda, API Gateway, and DynamoDB using patterns from real shipped apps
Deploy your frontend with S3, CloudFront, and Route 53 — your app gets a real URL by Sunday evening
Configure SSL certificates via ACM and connect everything to your custom domain
Build an AI security agent that monitors and protects your app using automated threat detection
Configure AWS WAF for rate limiting and bot protection, and Bedrock Guardrails for content filtering and PII redaction
Learn when to use each layer — security agent vs WAF vs Guardrails — and how they work together in production
Learn directly from Saurav
Saurav Sharma
6 yrs at Amazon building GenAI platforms. 14K+ subscribers on CloudYeti YouTube.
Who this course is for
Cloud engineers and AWS practitioners who want to add AI to their skillset — you know Lambda and S3, now build with Bedrock and Claude Code
Software developers ready to build and deploy AI apps, not just prototype them — ship a live app on a real domain by Sunday evening
Solutions architects and DevOps engineers exploring AI-powered application patterns for production
What's included
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
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