AI-500T00
AI-500T00: Design and implement multi-agent AI solutions
Price:
Duration:
Please Call
1 Day
Prerequisites
Experience with AI/ML, Python, Azure services, Microsoft Foundry, and designing or
developing production-ready AI/agentic solutions is recommended.
What you’ll learn in this course
This course focuses on the practical skills needed to architect and develop multi-agent AI solutions using Microsoft Foundry and Azure, validating your ability to design logical architecture
for multi-agent solutions, build and integrate tool ecosystems, implement multi-agent orchestration and integration of monitoring, security and governance.
Course Outline
• 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
• 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
• 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
• 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
Further information
If you would like to know more about this course please contact us
