Generative AI Integration with AWS Bedrock and Lambda

Organizations are rapidly adopting artificial intelligence, but the real value lies in connecting large language models to real-world business applications. This text-only course guides you through the process of building and orchestrating serverless generative AI workflows on AWS. You will transition from understanding basic AI concepts to designing fully integrated, low-latency generative AI solutions. By studying clear written explanations and practical code examples, you will learn how to connect foundation models to external data sources and automate complex multi-step processes. What you'll learn: Understand the core concepts of generative AI, foundation models, and serverless architecture; Configure AWS Bedrock to access and run inference on various leading language models; Build serverless functions using AWS Lambda to process application logic and handle API payloads; Orchestrate multi-step AI workflows and state machines with AWS Step Functions; Implement Retrieval-Augmented Generation (RAG) patterns using vector databases for context-aware responses; Apply security best practices and manage access controls for AI integrations. We begin with foundational definitions of generative AI and serverless computing before moving into hands-on configuration. You will then explore how to combine these services into cohesive, automated workflows that scale automatically to meet demand. This course is designed for software developers, cloud enthusiasts, and technology professionals who are new to generative AI integration. No prior experience with AWS Bedrock or serverless development is required. Start reading today to build your first serverless generative AI integration.