TrainingArtificial intelligence / Data & AIAI-500
AI-500Microsoft · authorised trainingLeads to an exam
Design and implement multi-agent AI solutions
This course focuses on designing and deploying production-grade multi-agent AI solutions using Microsoft Foundry and Azure. Participants learn orchestration architecture, tool and memory integration, as well as securing, monitoring, and governing multi-agent systems at enterprise scale. The course covers the full lifecycle: from architecture design, through implementation and deployment, to operational oversight and optimization.
- Duration
- 4 days
- Level
- Advanced
- Provider
- Microsoft
- Topic
- Artificial intelligence / Data & AI
Course outline
- Learning path: 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
- Learning path: 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
- Learning path: 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
- Learning path: 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
Skills you will gain
- Designing stateful agentic loops and session architecture with Microsoft Foundry Agent Service
- Implementing advanced multi-agent orchestration patterns, including hub-and-spoke coordination and supervisor patterns
- Designing task decomposition strategies and agent collaboration protocols
- Designing enterprise-scale agent communication architecture using the A2A protocol in Azure
- Building agent tool ecosystems using MCP and advanced RAG pipelines
- Designing multi-agent memory architectures using Azure Cosmos DB
- Implementing CI/CD pipelines and zero-trust security for multi-agent systems
- Monitoring, evaluating, and optimizing performance and cost of multi-agent solutions in Azure
Who should attend
- Expert-level practitioners who have subject matter expertise in designing, building, and optimizing scalable, production-ready, multi-agent AI systems, solutions and workflows
- Professionals who work closely with developers, machine learning engineers, platform engineers, data scientists, and business stakeholders to translate complex requirements into production-ready, multi-agent solutions
Certification
Exam
AI-500 - Microsoft Certified: Multi-Agent AI Solutions Expert
This course prepares you for this exam.
4000 PLN
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