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AI, Machine Learning & Data ScienceUdemy2026-6 Edition100% Free Video Course

Agentic AI Development with Agent Framework, MCP and .NET

Agentic AI Development with Agent Framework, MCP and .NET is a course on using modern agent frameworks, the Model Context Protocol (MCP), and the .NET ecosystem published by Udemy Online Academy. With this course, students will learn how to create AI agents that can reason, plan, use tools, and perform multi-step tasks while seamlessly interacting with external systems and data sources. The course covers agent architecture, MCP integration, LLM tuning, memory management, workflow automation, API connectivity, and designing scalable applications using C# and .NET.This course focuses on the practical development of autonomous multi-agent coordination for enterprise applications, going beyond theory. With support for the Microsoft Agent Framework, Microsoft Foundry, the Model Context Protocol (MCP), Aspire, AG-UI, DevUI, and .NET, you will learn how to build robust AI workflows that solve complex business problems. This course is designed to give you production-level visibility and control from day one, integrating enterprise-level AI agent patterns for real-world business workflows.

5.0
(2 reviews)
27 Hours On-Demand
Created by Senior Industry Specialist
Uploaded Sep 2026
English
Agentic AI Development with Agent Framework, MCP and .NET
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Free$129.99100% Free

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Course Features:
27 hours on-demand video
63 complete lectures
1 downloadable project zip file(s)
Streamable on mobile, tablet & desktop
Self-paced curriculum with progress tracking
Direct MP4 downloads & offline video access
Verified course archives hosted on cloud infrastructure.

What You'll Master in this Course

Master the Microsoft Agent Framework to build autonomous AI agents in .NET
Give AI agents persistent memory and context for meaningful interactions
Create custom function tools by generating JSON schemas directly from C# methods
Design multi-agent workflows including sequential, concurrent, and group chats
Implement dynamic group chat/discussion patterns for intelligent task routing between agents
Architecture agent RAG systems using Qdrant vector stores and embeddings
Visually test and debug multi-agent JSON payloads and tool calls using DevUI
Integrate Model Context Protocol (MCP) to securely expose tools to agents
And…

Course Curriculum63 Lectures

16 sections • 27 hours total length

Prefer offline learning? Download all 63 video lectures and project files for free.
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Requirements

  • Basic enthusiasm to learn and follow along with lessons
  • A computer or mobile device with a modern internet connection

Description

Agentic AI Development with Agent Framework, MCP and .NET is a course on using modern agent frameworks, the Model Context Protocol (MCP), and the .NET ecosystem published by Udemy Online Academy. With this course, students will learn how to create AI agents that can reason, plan, use tools, and perform multi-step tasks while seamlessly interacting with external systems and data sources. The course covers agent architecture, MCP integration, LLM tuning, memory management, workflow automation, API connectivity, and designing scalable applications using C# and .NET.This course focuses on the practical development of autonomous multi-agent coordination for enterprise applications, going beyond theory. With support for the Microsoft Agent Framework, Microsoft Foundry, the Model Context Protocol (MCP), Aspire, AG-UI, DevUI, and .NET, you will learn how to build robust AI workflows that solve complex business problems. This course is designed to give you production-level visibility and control from day one, integrating enterprise-level AI agent patterns for real-world business workflows.

Instructor

S

Senior Industry Specialist

Specialist in AI, Machine Learning & Data Science

Passionate educator focused on real-world practical skills, modern frameworks, and production-ready engineering practices. Delivering step-by-step masterclasses accessible to learners globally on MJ Accedemy.

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