This expert-level course teaches you how to architect and build production-grade multi-agent AI solutions with Microsoft Foundry and Azure. You will design orchestration patterns, tool ecosystems, memory, and governance for enterprise agentic systems. You will cover stateful agentic loops, task decomposition, agent-to-agent (A2A) communication, Model Context Protocol (MCP) tools, advanced RAG with Azure AI Search, memory with Azure Cosmos DB, and CI/CD, monitoring, and security for multi-agent systems.
Who Should Attend
Expert AI engineers and architects who design, build, and optimize scalable multi-agent AI systems and work with developers, ML engineers, platform engineers, and business stakeholders.
Prerequisites
- Strong experience developing AI solutions on Azure
- Proficiency with Python and Microsoft Foundry
- Familiarity with DevOps and CI/CD practices
Course Objectives
- Architect production-grade multi-agent AI solutions in Azure
- Implement advanced orchestration and agent collaboration patterns in Microsoft Foundry
- Design enterprise agent communication with A2A
- Build tool ecosystems with MCP and advanced RAG pipelines
- Design multi-agent memory architectures with Azure Cosmos DB
- Deploy, monitor, secure, and govern agentic AI solutions with CI/CD
