AWS Bedrock AgentCore: Designing Controlled AI Agents

As businesses adopt generative AI, building agents that act predictably and securely is a major challenge. This written course guides you through the process of designing, managing, and securing autonomous workflows using AWS Bedrock AgentCore.\n\nThrough clear explanations and structured text-based modules, you will transition from understanding basic AI concepts to implementing robust agent architectures. You will learn how to manage runtime execution, maintain session memory, and securely connect your agents to external systems and databases.\n\nWhat you'll learn:\n- Understand the core architecture and terminology of AWS Bedrock Agents\n- Configure persistent session memory to maintain context across interactions\n- Connect agents to external APIs and tools using secure action groups\n- Apply modern prompt engineering and guardrails to control agent behavior\n- Implement retrieval-augmented generation (RAG) using Bedrock Knowledge Bases\n- Secure agent execution environments with AWS access controls\n\nThis course begins with foundational definitions and key terminology, ensuring you have a solid grasp of agentic concepts before moving into practical code snippets and architectural patterns. It is designed specifically for beginners and developers new to AI orchestrations, with no advanced machine learning background required.\n\nStart reading today to master the foundations of controlled AI automation on AWS.