Designing AI Agents with Amazon Bedrock

Modern businesses need more than simple chatbots; they require intelligent systems that can plan, reason, and execute multi-step workflows autonomously. This written course guides you through the foundational concepts of AI agents and how to build them using Amazon Bedrock. By reading and working through the practical written exercises, you will transition from understanding basic generative AI to designing goal-directed autonomous agents. You will gain the skills to connect foundation models to external APIs, manage conversation state, and implement reliable decision-making patterns. What you'll learn: - Understand the core architecture of AI agents and how they differ from standard language models. - Explore the ReAct (Reasoning and Acting) framework to guide autonomous decision-making. - Configure Amazon Bedrock agents to orchestrate multi-step tasks and integrate with external systems. - Apply prompt engineering best practices to improve agent reliability and response accuracy. - Design secure integration patterns using action groups and OpenAPI schemas. - Practice troubleshooting agent workflows through structured text-based scenarios. The course starts with essential terminology and foundational agent concepts before moving into the step-by-step design of action groups, knowledge bases, and orchestration flows in Amazon Bedrock. This training is designed for software developers, technical architects, and tech enthusiasts who are new to AI orchestration. No prior experience with AWS or AI agent development is required. Start reading today to build your first autonomous system with Amazon Bedrock.