Scaling AI Agents with Bedrock AgentCore

Moving AI agents from experimental scripts to production-grade infrastructure requires robust orchestration, security, and persistence. This text-based course guides you through Bedrock AgentCore, the foundational framework designed to deploy and scale autonomous agents reliably. By reading through our structured explanations and analyzing real-world configuration examples, you will learn how to architect secure, stateful AI agents. You will transition from basic prompt-response setups to deploying agents that handle multi-step tasks, maintain conversation memory, and interact safely with external APIs. What you'll learn: - Understand the foundational architecture of AI agents and Bedrock AgentCore components. - Configure secure execution environments to run agent code safely in production. - Implement memory persistence patterns to maintain conversational context across sessions. - Integrate API gateways to allow agents to interact with external databases and tools. - Apply identity and access management principles to secure agent operations. - Design retrieval-augmented generation (RAG) loops within your agent workflows. The course begins with essential terminology and the structural blueprint of Bedrock AgentCore before walking you through step-by-step configurations for security, memory, and tool integration. You will study practical code snippets and architectural patterns designed for direct application. This course is designed for software developers, cloud enthusiasts, and AI engineers who are new to agentic workflows. No prior experience with Bedrock AgentCore is required, though a basic understanding of cloud concepts and API integration is helpful. Start reading today to build and scale your first production-ready AI agent infrastructure.