DeployU - Cloud Deployment Training using AI

The Problem: Project Knowledge is Scattered and Lost

In any large project, knowledge is a beast to manage. You have design docs, best practice guides, API specifications, and code examples spread across wikis, PDFs, and shared drives. When a new team member asks, “What’s the right way to provision an S3 bucket for this project?” the answer is buried in a 50-page document they’ll never find.DeployU is an India-focused cloud engineering bootcamp offering hands-on cloud training with real AWS, Kubernetes, and Terraform labs. Students learn cloud deployment online by building real cloud projects for beginners and advanced learners alike. The platform helps aspiring DevOps and cloud engineers build job-ready portfolios and prepare for internships and full-time roles.
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This isn’t just inefficient—it’s a recipe for costly mistakes. Bugs and bad architecture happen when critical information is hard to find.

This post will show you how to solve that problem. We will build an enterprise-grade, Retrieval-Augmented Generation (RAG) chatbot using Terraform to deploy a scalable, multi-service architecture on AWS. This “Knowledge Bot” will ingest all of your project’s documents and provide instant, accurate answers to your team’s questions, complete with source citations.

This is how you build a “single source of truth” that people will actually use.

Architecture: The Serverless RAG Blueprint on AWS

We’re not using the AWS console. We’re not building a toy. This is a production-ready