Design and implement multi-agent AI solutions (AI-500T00) – Outline

Detailed Course Outline

Architect production-grade multi-agent AI solutions in Azure

  • Design stateful agentic loops with Microsoft Foundry agent service
  • Implement advanced multi-agent orchestration patterns in Microsoft Foundry
  • Apply task decomposition and agent collaboration strategies in Microsoft Foundry
  • Design enterprise-scale agent communication with A2A in Azure

Build production-grade multi-agent capabilities with Microsoft Foundry

  • Design advanced prompting strategies for production AI agents
  • Build enterprise-grade tool ecosystems with MCP and Microsoft Foundry
  • Implement advanced RAG pipelines with Azure AI Search and Microsoft Foundry
  • Design multi-agent memory architectures with Azure Cosmos DB

Deploy and govern enterprise agentic AI solutions on Azure

  • Implement CI/CD pipelines for multi-agent systems with GitHub Actions
  • Secure multi-agent systems with Azure zero-trust architecture
  • Scale responsible AI governance with Azure AI Content Safety and Microsoft Foundry
  • Govern the enterprise agent lifecycle in Microsoft Foundry

Monitor, evaluate, and operate multi-agent AI solutions in Azure

  • Implement distributed observability for multi-agent solutions with OpenTelemetry
  • Design evaluation frameworks for multi-agent solutions with Microsoft Foundry
  • Optimize multi-agent performance and cost in Microsoft Foundry
  • Design human-in-the-loop approval workflows with Power Automate and Microsoft Teams
  • Debug and respond to production multi-agent incidents in Azure