Building Multi-Agent Systems with Foundry Agent Service

Modern AI is moving beyond single-prompt assistants toward networks of specialized, collaborative agents. To build systems that can handle complex, multi-step tasks, you need to understand how to design and orchestrate multi-agent architectures. This text-based course guides you from foundational agent concepts to designing cooperative workflows using the Foundry Agent Service. You will learn how to break down complex business problems, assign specialized roles to individual agents, and establish secure communication channels between them. What you'll learn: - Understand the fundamental concepts of autonomous agents, state management, and multi-agent orchestration. - Design specialized AI agents with distinct roles, system prompts, and tool access. - Configure seamless communication and collaboration patterns between multiple connected agents. - Apply modern prompt engineering techniques to ensure structured outputs and reliable agent behavior. - Implement the Foundry Agent Service to deploy, manage, and monitor your collaborative workflows. - Practice debugging and optimizing agent interactions through guided written exercises and code analyses. You will start by exploring core terminology and architectural patterns before moving into step-by-step written walkthroughs. By studying practical code snippets, you will learn to build, test, and refine a fully functional multi-agent system. This course is designed for software developers, technical architects, and AI enthusiasts who are new to multi-agent design. No prior experience with agentic frameworks is required, though a basic understanding of programming concepts is helpful. Start reading today to master the next generation of collaborative AI workflows.