Introduction to AI agent orchestration patterns

Microsoft

A practical introduction to the architectural patterns that enable multiple AI agents to work together effectively in production.

September 14, 2026

Engineers designing multi-agent systems

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About

This Microsoft Learn module covers fundamental orchestration patterns used to coordinate multi-agent architectures. It focuses on how agents interact, communicate, and delegate tasks in complex systems. Ideal for understanding the structural approaches that underpin scalable agentic AI.

Who is it for

Backend engineers and architects building multi-agent systems. Teams evaluating orchestration strategies for production deployments.

Multi-agent orchestration fundamentals

Microsoft Learn provides officially maintained, production-grade documentation. This module bridges theory and practice by teaching concrete patterns rather than abstract concepts.

What you learn

How agents coordinate and communicate in multi-agent systems

Common orchestration patterns (sequential, parallel, hierarchical)

When and why to use each pattern for different use cases

Design trade-offs between centralized and decentralized coordination

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