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

This comprehensive course offers a deep dive into building production-ready Generative AI solutions on AWS, making it highly valuable for developers, cloud architects, and tech enthusiasts. Led by Rahul Trisal, the curriculum guides learners through the core concepts of Artificial Neural Networks and Foundation Models before transitioning into practical, hands-on implementations. Students will explore Amazon Bedrock in detail, mastering its architecture, pricing models, and inference parameters. The course stands out for its practical approach, guiding you through over seven real-world use cases. These include text summarization using the Cohere foundation model, conversational chatbots built with Bedrock Converse API and Langchain, and sophisticated Retrieval Augmented Generation (RAG) applications using Claude and FAISS. Additionally, learners will gain hands-on experience deploying serverless applications using AWS Lambda, API Gateway, and Amazon Bedrock Agents. Perfect for both beginners and experienced professionals, this course bridges the gap between theoretical AI concepts and scalable cloud deployments, ensuring you can confidently design and implement cutting-edge GenAI architectures on AWS. With a dedicated focus on the latest tools like Amazon Q Business, Amazon Q CLI, and Langchain, this learning journey equips you with the in-demand skills required to build autonomous agents and secure knowledge bases, making you highly competitive in the modern tech landscape.