Configuring Bedrock AgentCore for Secure AWS AI Agents

Autonomous AI agents are transforming how we automate complex workflows, but deploying them securely and reliably requires robust infrastructure. This text-based course teaches you how to leverage Bedrock AgentCore to build production-ready AI agents on AWS. You will transition from understanding basic AI concepts to successfully configuring core agent services. By reading detailed technical breakdowns and examining structured configuration examples, you will learn how to manage agent memory, secure user identities, and integrate external tools safely. What you'll learn: - Understand the foundational architecture of AI agents and Bedrock AgentCore services - Configure persistent memory to help agents maintain context across multi-turn conversations - Implement secure identity and access management controls for agent deployment - Integrate built-in tools and API gateways to extend agent capabilities - Apply modern security practices and zero-trust principles to AI agent workflows The course begins with essential terminology and the core mechanics of AI orchestration. From there, you will progress through step-by-step written guides covering memory allocation, gateway configurations, and identity verification. This course is designed for software developers, system administrators, and cloud beginners who want to build secure AI solutions, with no prior experience with machine learning required. Start reading today to build and secure your first AWS-powered AI agent.