Microsoft Agent Framework: Design, Orchestrate, and Scale Agentic AI
1h 19mIntermediate2026-06-29
Authors

Jose Latorre
Course details
Build production-grade agents with the Microsoft Agent Framework — the evolution of Semantic Kernel and AutoGen, redesigned for real agentic systems. Start by building a foundational "feature design" agent that turns rough product ideas into structured specifications, using DevUI from day one to visually trace exactly what your agent is doing. Then, give it memory and local functions and connect it to the GitHub MCP server for real-world capability. From there, orchestrate a full feature-design team — planner, architect, QA, and executor — collaborating through a structured, more deterministic multi-agent workflow.
This course is for developers ready to move past single-prompt demos and build agents that actually behave in production. By the end, you'll be able to design, build, debug, and orchestrate complete multi-agent pipelines that automate real work — measurable, not magical.
Learning objectives
Build a foundational agent from scratch and progressively enhance it with memory and tools.
Visualize, monitor, and debug agents using DevUI.
Integrate local functions and MCP-based tools, including the GitHub MCP server, into a cohesive agent.
Design and orchestrate a multi-agent feature-design team — planner, architect, QA, and executor — through a structured, more deterministic workflow.
Apply a reliability mindset to verify your agents behave before they reach production.
This course is for developers ready to move past single-prompt demos and build agents that actually behave in production. By the end, you'll be able to design, build, debug, and orchestrate complete multi-agent pipelines that automate real work — measurable, not magical.
Learning objectives
Build a foundational agent from scratch and progressively enhance it with memory and tools.
Visualize, monitor, and debug agents using DevUI.
Integrate local functions and MCP-based tools, including the GitHub MCP server, into a cohesive agent.
Design and orchestrate a multi-agent feature-design team — planner, architect, QA, and executor — through a structured, more deterministic workflow.
Apply a reliability mindset to verify your agents behave before they reach production.
Concepts
Introduction
- Workflows with Microsoft Agent Framework
Building and Evolving Our First Agent
- Foundations - Architecture and core abstractions
- Building your first agent - The feature planning copilot
- Giving memory to our feature planning agent
- Adding power - Giving tools to your feature planning agent
- Going MCP - Integrate an MCP tool
Workflows - Designing and Running Collaborative Multi-agent Solutions
- From single agent to workflows
- Workflow types and building blocks
- Designing the feature design mini-team
- Implementing the product manager agent and executor
- Implementing the architect agent and executor
- Implementing the QA agent and executor
- Wrapping the workflow - Feature card executor and end-to-end demo
Beyond the Core of the Microsoft Agent Framework
- Next steps and further resources
Related courses
- Azure AI for Developers: Building AI Agents
- How to Be an Agent Boss: Leading AI Agents at Work
- Model Context Protocol (MCP) for Beginners by Microsoft
- Building AI Agents for Beginners by Microsoft
- AI Agents for Marketing: Automate Workflows with Copilot
- Copilot Agents: Build Your Own AI Assistant in Copilot and Teams (No Code Required)
- Extend Microsoft 365 Copilot with AI Agents
- Microsoft Copilot and Agent Administration Fundamentals (AB-900) Cert Prep by Microsoft Press
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