Designing AI Agents with AWS Bedrock

Generative AI is transforming how we build software, but moving from simple prompts to autonomous, reliable AI agents requires a structured approach. AWS Bedrock provides the managed foundation to build, secure, and orchestrate these intelligent systems without managing complex infrastructure. In this text-based course, you will learn the foundational concepts of generative AI orchestration and progress to designing production-ready Bedrock Agents. You will understand how to connect large language models to your enterprise data sources, set up automated reasoning paths, and implement crucial safety guardrails for trustworthy AI solutions. What you will learn: Understand foundational generative AI concepts and the architecture of AWS Bedrock; Configure Bedrock Agents to perform multi-step reasoning and execute automated tasks; Integrate knowledge bases using retrieval-augmented generation to connect agents to external data; Apply security best practices using Bedrock Guardrails to block harmful content and protect sensitive data; Implement basic observability patterns to monitor agent performance and trace decisions; Practice writing clean integration code and infrastructure-as-code configurations for AI deployment. The course starts with essential AI terminology and AWS Bedrock basics before guiding you through step-by-step written explanations on agent creation, action groups, and data integration. This course is designed for software developers, cloud enthusiasts, and aspiring AI engineers who are new to AWS Bedrock, with no prior machine learning experience required. Start reading today to build your first secure, autonomous AI agent on AWS.