Building Autonomous AI Systems with Bedrock Agents

Discover how to transition from static AI prompts to fully autonomous, multi-step AI agents that can think, plan, and execute tasks. In this text-based guide, you will master the foundational concepts of agentic workflows using Bedrock Agents. You will learn to design, configure, and secure intelligent agents capable of orchestrating complex business processes. By studying written architectural patterns and step-by-step configuration examples, you will gain the skills to connect foundation models to external APIs, manage conversational memory, and enforce strict safety guardrails. What you'll learn: 1. Understand the core architecture of Bedrock Agents and how autonomous reasoning loops work. 2. Configure agent action groups to connect your AI with external tools and databases. 3. Implement Retrieval-Augmented Generation (RAG) patterns to ground agent responses in private business data. 4. Manage conversational memory to maintain context across long-running user interactions. 5. Apply governance protocols and guardrails to ensure reliable, safe, and aligned AI outputs. 6. Analyze real-world written case studies of agent deployments in enterprise environments. The course begins with foundational AI agent terminology and basic reasoning frameworks before guiding you through tool integration, memory management, and security configurations. Through detailed written explanations and clear code snippets, you will learn how to orchestrate complete autonomous workflows. This course is designed for software developers, cloud enthusiasts, and AI beginners eager to build autonomous systems, with no prior experience with Bedrock required. Start reading today to unlock the power of autonomous AI orchestration.