Agentic AI Development with Agent Framework, MCP and .NET — 93% OFF Coupon

Develop Enterprise Multi-Agent systems using Microsoft Agent Framework, Microsoft Foundry, MCP, Aspire, AG-UI and DevUI

★4.9 out of 5
439 students
Created by Mehmet Ozkaya
English
Updated June 2026

Quick Facts — Agentic AI Development with Agent Framework, MCP and .NET Overview

Here's a quick overview of everything you need to know about Agentic AI Development with Agent Framework, MCP and .NET before you enroll:

•Course Name: Agentic AI Development with Agent Framework, MCP and .NET
•Platform: Udemy
•Instructor: Mehmet Ozkaya
•Coupon Last Verified: June 6, 2026
•Level: All Levels
•Topic: Development
•Subtopic: AI Agents & Agentic AI
•Total Time: 6h of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: 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
•Requirements: Basic to intermediate understanding of C# and the .NET (Web APIs) · No prior AI engineering experience is required; build from the ground up!
•Current Price: $9.99 (was $149.99). You save $140.00 with 93% discount.
•How to Apply: Click the coupon button to activate your discount automatically
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Skills You'll Master in This Course

By the end of Agentic AI Development with Agent Framework, MCP and .NET, you'll have these practical skills:

✓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/Debate patterns to intelligently route tasks between agents .
✓Architect Agentic RAG systems using Qdrant Vector Stores and embeddings .
✓Visually test and debug multi-agent JSON payloads and tool calls using DevUI .
✓Integrate the Model Context Protocol (MCP) to securely expose tools to agents .
✓Build Agent-to-Agent (A2A) communications via network-accessible Web APIs .
✓Push interactive, generative UI components directly to frontends using AG-UI .
✓Integrate .NET Aspire to capture OpenTelemetry observability and token counts .
✓Scaffold a complete MinimalAgent microservices backend with AI orchestration.

Prerequisites for This Course

Before enrolling in Agentic AI Development with Agent Framework, MCP and .NET, make sure you have:

•Basic to intermediate understanding of C# and the .NET (Web APIs)
•No prior AI engineering experience is required; build from the ground up!

About This Udemy Course

The following is the full official course description for Agentic AI Development with Agent Framework, MCP and .NET as published on Udemy by instructor Mehmet Ozkaya:

"You're a Senior Architect, but AI makes you feel like a Junior again." If you have tried to learn Agentic AI, you have likely noticed a frustrating trend: everything is in Python, or it focuses on simplistic "Hello World" scripts that immediately crumble in a real-world enterprise environment.

Welcome to the definitive guide on building production-ready agentic AI systems in the .NET ecosystem. Moving beyond theory, this course focuses on the hands-on development of autonomous multi-agent orchestration for enterprise applications. Powered by 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-grade visibility and control from day one, integrating enterprise-grade AI agent patterns for real-world business workflows.

What You Will Master

In this comprehensive enterprise course, we move beyond basic prompt engineering into deep architectural implementation natively in C#:
  • Microsoft Agent Framework (MAF): Deep dive into Microsoft's framework for building sophisticated, stateful AI systems, utilizing Microsoft Foundry and Azure OpenAI as your cognitive engines.
  • Multi-Agent Orchestration: Design and implement complex workflow patterns (Sequential pipelines, Concurrent execution, dynamic Handoffs, and Group Chats) using Swarm Intelligence and the WorkflowBuilder.
  • Agentic RAG Systems: Rethink traditional, rigid RAG pipelines. Build intelligent, intent-based retrieval systems using Qdrant vector databases and the TextSearchProvider, allowing the AI to autonomously decide when and how to search your enterprise knowledge.
  • Protocols & Interoperability: Master the bleeding edge of integration: Agent-to-Agent (A2A) network communications, the Model Context Protocol (MCP) for tool exposure, and the AG-UI protocol for generative frontend streaming.
  • Observability & Visual Testing: Achieve production-grade visibility using .NET Aspire and DevUI. Visually track JSON payloads, token usage, agent handoff latencies, and tool calls in real-time.
  • Enterprise Microservices Integration: Scaffold a complete MinimalAgent microservices architecture, learning exactly how to integrate AI agents seamlessly into existing backends and web APIs.

Course Roadmap and Structure

This curriculum is structured across 4 comprehensive parts, designed to systematically take you from foundational agent anatomy to advanced multi-agent enterprise integration:

Part 1: Core Agent Development
  • We start by mastering the foundational anatomy of an AI Agent. You will establish your connections to the Azure OpenAI service and explore the agent invocation lifecycle. You will get hands-on by developing custom function tools—utilizing the AIFunctionFactory to automatically generate JSON schemas from native C# methods. Finally, we will implement the AgentSession class to give your agents the persistent context and memory required for meaningful enterprise interactions.

Part 2: Orchestrating Multi-Agent Systems
  • Once we understand the individual agent, we scale up to Swarm Intelligence. You will learn to design collaborative networks of highly specialized micro-agents (e.g., triage, finance, compliance). We will use the AgentWorkflowBuilder to architect distinct industry-standard topologies: Sequential, Concurrent, Group Chat, and Handoff patterns. We will integrate these swarms into our MinimalAgent .NET Aspire architecture, utilizing DevUI to visually test and watch real-time debates and handoffs unfold graphically.

Part 3: Advanced Reasoning: Agentic RAG
  • Move beyond traditional RAG. In this module, we build Agentic RAG—where the AI itself decides if it needs to query the database. To support enterprise scale, we will integrate .NET with Qdrant Vector Stores. You will learn how to generate embeddings, execute semantic searches, and tie it all together using the TextSearchProvider, turning your corporate data into a cognitive tool your agents can wield autonomously.

Part 4: Agent Communications and Protocols
  • Solve the enterprise interoperability challenge. We will expose your MAF agents as network-accessible Web APIs to establish secure A2A (Agent-to-Agent) architectures. We will dive deep into the Model Context Protocol (MCP), designing architectures that connect your C# agents to both local and hosted MCP servers—giving them autonomous access to external repositories and documentation. Finally, we will leverage the AG-UI Protocol to push interactive, generative UI components directly to the client frontend.

Technology Stack
  • Languages & Frameworks: .NET 10, C#, ASP.NET Core, Blazor Server
  • AI & Agents: Microsoft Agent Framework, Azure OpenAI (gpt-5-mini, text-embedding-3-small)
  • Cloud & Deployment: Microsoft AI Foundry
  • Frontend Protocol: AG-UI — Agentic UI streaming protocol
  • Orchestration: .NET Aspire for Service Discovery and Container Lifecycle Management
  • Observability: Aspire OpenTelemetry, Application Insights
  • Vector Data & Storage: Qdrant Vector Databases
  • Architecture: Microservices, Clean Architecture, Model Context Protocol (MCP)

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Is the Agentic AI Development with Agent Framework, MCP and .NET Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: June 6, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Agentic AI Development with Agent Framework, MCP and .NET is a high-value resource for learners seeking to build skills inDevelopment. Taught by Mehmet Ozkaya on Udemy, the 6h course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 93%, from $149.99 to $9.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 93% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.9 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 439 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in Agentic AI Development with Agent Framework, MCP and .NET:

  • The depth of Development coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
Final Verdict: Worth It
This course offers exceptional value with current pricing
✓

Course Rating Summary

Agentic AI Development with Agent Framework, MCP and .NET has earned an aggregate rating of 4.9 out of 5 from 439 verified student reviews on Udemy. Below is the detailed rating distribution showing learner satisfaction across all star levels.

4.9
★★★★★
439 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy.

About the Instructor — Mehmet Ozkaya

Agentic AI Development with Agent Framework, MCP and .NET is taught by Mehmet Ozkaya, a Udemy instructor specializing in Development. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Mehmet Ozkaya
•Subject Area: Development
•Teaching Approach: Practical, project-based instruction focused on real-world application of Development skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about Agentic AI Development with Agent Framework, MCP and .NET, its coupon code, pricing, and enrollment process.

About the Author

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Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

⭐4.8/5 Rating
✓Trusted by 10K+ Students

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