AI-500T00: Design and implement multi-agent AI solutions

About 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. Audience Profile Candidates for this course, are expert-level practitioners who have subject matter expertise in designing, building, and optimizing scalable, production‑ready, multi-agent AI systems, solutions and workflows. Out of your job role, you work closely with developers, machine learning engineers, platform engineers, data scientists, and business stakeholders to translate complex requirements into production-ready, multi-agent solutions.

Instructor-led training for professionals and companies in Chile. Request dates, schedules, seats and commercial terms. Training hours and daily scheduling follow Netsolutions planning and are confirmed in the commercial proposal.

Course syllabus

1. Architect production-grade multi-agent AI solutions in Azure
2. Design stateful agentic loops with Microsoft Foundry agent service
3. Implement advanced multi-agent orchestration patterns in Microsoft Foundry
4. Apply task decomposition and agent collaboration strategies in Microsoft Foundry
5. Design enterprise-scale agent communication with A2A in Azure
6. Build production-grade multi-agent capabilities with Microsoft Foundry
7. Design advanced prompting strategies for production AI agents
8. Build enterprise-grade tool ecosystems with MCP and Microsoft Foundry
9. Implement advanced RAG pipelines with Azure AI Search and Microsoft Foundry
10. Design multi-agent memory architectures with Azure Cosmos DB
11. Deploy and govern enterprise agentic AI solutions on Azure
12. Implement CI/CD pipelines for multi-agent systems with GitHub Actions
13. Secure multi-agent systems with Azure zero-trust architecture
14. Scale responsible AI governance with Azure AI Content Safety and Microsoft Foundry
15. Govern the enterprise agent lifecycle in Microsoft Foundry
16. Monitor, evaluate, and operate multi-agent AI solutions in Azure
17. Implement distributed observability for multi-agent solutions with OpenTelemetry
18. Design evaluation frameworks for multi-agent solutions with Microsoft Foundry
19. Optimize multi-agent performance and cost in Microsoft Foundry
20. Design human-in-the-loop approval workflows with Power Automate and Microsoft Teams
21. Debug and respond to production multi-agent incidents in Azure