Designing AI Agents with Amazon Bedrock and AgentCore

Artificial intelligence is shifting from passive chat assistants to active, autonomous agents that can execute multi-step tasks. This text-based course guides you through the foundational concepts of agentic AI, showing you how to orchestrate intelligent workflows using Amazon Bedrock. You will transition from writing simple prompts to designing production-ready agents that can interact with external APIs, databases, and tools. By reading detailed explanations and analyzing practical code examples, you will gain the skills to build secure, reliable, and context-aware agentic systems. What you'll learn: Understand the core architecture of autonomous AI agents and the Bedrock ecosystem; Configure Bedrock AgentCore to manage multi-step reasoning and planning; Implement the Model Context Protocol (MCP) to securely connect agents with external data sources; Apply advanced prompt engineering patterns to guide agent behavior and prevent execution errors; Design secure integration layers for APIs and databases using written step-by-step schemas; Practice troubleshooting and refining agent workflows through structured text-based exercises. The course begins with essential terminology and the fundamentals of agentic workflows, before guiding you through tool integration, orchestration libraries, and secure deployment strategies. This course is designed for software developers, system architects, and tech enthusiasts who want to learn AI agent development from scratch, requiring only basic programming knowledge. Start reading today to build your first autonomous AI agent.