Implement advanced multi-agent orchestration patterns in Microsoft Foundry

  • Module
  • 8 Units
Advanced
AI Engineer
Solution Architect
Azure
Microsoft Foundry
Foundry Agent Service

Implement advanced multi-agent orchestration patterns in Microsoft Foundry. Design hub-and-spoke architectures, implement parallel agent spawning with synchronization and partial failure recovery, configure hierarchical supervisor patterns, and evaluate trade-offs across Semantic Kernel, LangGraph, AutoGen, and CrewAI.

Learning objectives

By the end of this module, you'll be able to:

  • Differentiate agentic AI from multi-agent AI and decide when multi-agent architectures earn their coordination cost
  • Design hub-and-spoke multi-agent architectures with a central orchestrator agent
  • Implement parallel agent spawning and synchronization patterns for concurrent execution
  • Configure supervisor and coordinator patterns for hierarchical multi-level task delegation
  • Evaluate orchestration framework trade-offs to select the right approach for a given scenario

Prerequisites

Before starting this module, you should have:

  • Experience building multi-agent solutions with Microsoft Foundry Agent Service and Microsoft Agent Framework
  • Familiarity with concurrent, sequential, group chat, and handoff orchestration patterns
  • Proficiency in Python
  • 4+ years of AI/ML development experience

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