Multi-Agent Workflows with AWS Bedrock and AgentCore

Single-agent AI systems often struggle with complex, multi-step tasks that require specialized knowledge. By orchestrating multiple cooperative agents, you can build resilient systems that solve sophisticated real-world problems. This text-based course guides you through the foundational concepts and practical implementation of multi-agent architectures. You will learn to design stateful agents, integrate external tools, and deploy collaborative workflows using AWS Bedrock and AgentCore. What you'll learn: Understand the core principles of multi-agent orchestration and collaborative AI architectures; Configure foundational models on AWS Bedrock to act as specialized, task-oriented agents; Implement agent memory and state management using DynamoDB for persistent context; Connect agents to external tools, including web search APIs and custom database queries; Design communication patterns and delegation strategies between multiple agents using AgentCore; Apply modern prompt engineering and guardrails to ensure reliable, safe agent behavior. The course starts with essential definitions of agentic workflows and AWS Bedrock basics before moving on to hands-on configuration, tool integration, and multi-agent coordination scenarios. Designed for software developers, cloud enthusiasts, and AI beginners, this course requires no prior experience with agentic frameworks. Start reading today to build your first cooperative AI workforce.