Library / Artificial Intelligence

Generative AI on AWS - Amazon Bedrock, RAG & AWS KIRO [2026]

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About this course

Amazon Bedrock, Amazon Q and AWS GenAI Course :*Hands - On Use Cases implemented as part of this course*Use Case 1 - Text Summarization for Manufacturing Industry using API Gateway, S3 and Cohere Foundation Model

Use Case 2 - Build a Chatbot using Amazon Bedrock - DeepSeek, Langchain and Streamlit.

Use Case 3- Build an Employee HR Q & A Application with Retrieval Augmented Generation (RAG) - Claude FM + Langchain (Ochestrator)+ FAISS (Vector DB) + Streamlit

Use Case 4 - Serverless e-Learning App using Bedrock Knowledge Base + Claude FM + AWS Lambda + API Gateway

Use Case 5 - Build FleetMate Application using AWS KIRO - Agentic AI powered Integrated Development Environment (IDE) Use Case 6 - Build Infrastructure Coding Agent using Amazon Q CLI and AWS CloudFormation Server.

Welcome to the most comprehensive guide on Amazon Bedrock and Generative AI on AWS from a practising AWS Solution Architect and best-selling Udemy Instructor.

This course will start from absolute basics on AI/ML, Generative AI and Amazon Bedrock and teach you how to build end to end enterprise apps on Image Generation using Stability Diffusion Foundation, Text Summarization using Cohere, Chatbot using Llama 2,Langchain, Streamlit and Code Generation using Amazon CodeWhisperer.

The focus of this course is to help you switch careers and move into lucrative Generative AI roles.

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