Course Overview:

This one-day technical training equips developers and AI engineers to design, build, and deploy intelligent agents on Azure. Leveraging Azure AI Foundry Agent Service and Microsoft’s open-source Semantic Kernel, learners will craft agents enriched with custom tools and orchestrate multi-agent workflows for real-world automation.

After completing this course, participants will be able to:

  • Define what AI agents are and when to use them
  • Create agents using Azure AI Foundry Agent Service
  • Integrate custom tools to enhance agent capabilities
  • Develop agents programmatically with Semantic Kernel SDK
  • Orchestrate multi-agent scenarios using Semantic Kernel Agent Framework

Upcoming Batches

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Key Features:

  • Hands-on labs with Azure AI Foundry for agent development

  • Integration of custom tools and plugins

  • Code-first agent architecture using Semantic Kernel (Python/C#)

  • Scalable multi-agent orchestration with collaboration logic

  • Focused, real-world exercises (~40–50% of time is live coding)

Who should Attend?

  • AI Engineers & Developers
  • Data Scientists building autonomous AI workflows
  • Solution Architects exploring Azure AI capabilities
  • DevOps professionals planning AI automation pipelines

Prerequisites:

Familiarity with AI fundamentals, Azure basics, and programming (e.g. Python or C#)

Why choose CloudThat as your training partner?

  • Authorized Microsoft training partner offering official content
  • Expert-led, real-time coding sessions and labs
  • Practical multi-agent and tool-integration exercises
  • Compact 1‑day format for fast results
  • Azure Cloud Slice access for hassle-free labs
  • Post-course resources, Q&A support, and community access

Learning objective of course:

  • Understand AI agent roles and architectural patterns
  • Build intelligent agents using Azure AI Agent Service
  • Extend agents with custom tool integration
  • Develop agent workflows on Semantic Kernel (Python/C#)
  • Architect and orchestrate coordinated multi-agent scenarios
  • Apply responsible, scalable, and secure agent designs
  • Design a multi-agent solution by defining main agent tools and connected agent roles
  • Explain the roles of the MCP server and client in tool discovery and invocation
  • Build an Azure AI agent that dynamically accesses and calls MCP tools during runtime

Course Outline: Download Course Outline

Certification Details:

  • Certificate of Completion (no exam required)
  • Microsoft Learn achievement code available
  • Digital badge shareable on LinkedIn or professional profiles

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Course ID: 25462

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FAQs:

One full day of instructor-led training.

AI Engineers, Developers, Data Scientists familiar with programming and Azure.

Yes, interactive coding and Azure studio labs included.

Azure AI Agent Service environment provided via Cloud Slice.

Yes, basic Python or C# knowledge is expected.

No—assessment is through module exercises and demos.

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