Task Delegation with Child Agents in Copilot Studio

Managing complex conversational AI workflows can quickly become overwhelming when handled by a single monolithic system. By breaking down large tasks into specialized child agents, you can build scalable, highly organized AI solutions that are easy to maintain and extend. This text-only course guides you through the process of architecting multi-agent systems using Copilot Studio. You will start with core agent concepts and progress to designing, configuring, and orchestrating child agents that seamlessly pass data and hand off control. What you'll learn: - Understand the foundational architecture of multi-agent systems and child agent delegation. - Create focused, single-purpose child agents designed for specific business tasks. - Configure input and output variables to pass data smoothly between parent and child agents. - Manage routing logic and trigger conditions to invoke sub-agents at the right moment. - Apply error handling and fallback strategies to ensure robust agent communication. - Practice designing scalable agent hierarchies through clear, step-by-step written exercises. The course starts with essential definitions and foundational multi-agent patterns. From there, you will read through practical implementation scenarios, learning how to configure variables, manage conversational state across handoffs, and troubleshoot agent orchestration. This course is designed for beginners looking to scale their Copilot Studio projects, with no advanced programming experience required. Start building modular, scalable AI agent systems today.