Building Agentic AI Systems with MCP on Microsoft Azure
Building Agentic AI Systems with MCP on Microsoft Azure
Released 5/2026
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 3h 41m | Size: 569.96 MB
Learn how to design and build autonomous applications and systems using AI agents with Azure MCP Servers to automate workflows and create cloud- and AI-native solutions.
Course details
Explore ways to design and build autonomous applications and systems using AI agents with Azure MCP Servers and other MCP platforms. Learn to modernize your applications by integrating MCP Servers with Azure cloud services—including Azure AI Foundry, Azure Functions, Azure API Management, and Azure Service Bus—to automate workflows and create cloud- and AI-native solutions. Implement AI security, compliance, observability, and governance aligned with Cloud Adoption Framework, Well-Architected Framework for Azure, and Responsible AI principles. Build and try out use case projects with code examples and exercises for developing AI-integrated systems using Azure AI services and Azure MCP Servers. Perfect for intermediate to advanced developers, cloud/system architects, platform engineers, and DevOps engineers, this course teaches you how to build and manage autonomous agents and AI-first systems on the cloud.
Skills covered
Workflow Automation, Agentic AI Development, Application Development, Microsoft Azure
Homepage
https://www.linkedin.com/learning/building-agentic-ai-systems-with-mcp-on-microsoft-azure
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