Agentic AI Development with Agent Framework, MCP and .NET

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Agentic AI Development with Agent Framework, MCP and .NET

Instructor: Mehmet Ozkaya

Included with Learn more

17 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

17 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Build and debug autonomous AI agents in .NET with the Microsoft Agent Framework and DevUI.
Design multi-agent workflows and Agentic RAG with Qdrant vector stores and semantic embeddings.
Integrate agents using A2A, AG-UI, and MCP while applying context, tools, governance, and observability.

Skills you'll gain

Tools you'll learn

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There are 17 modules in this course

Master the Microsoft Agent Framework to build autonomous AI agents in .NET and architect enterprise-grade Agentic AI systems. In this course, you will learn to build multi-turn conversational agents with persistent context, generate dynamic JSON schemas for custom tools directly from C# methods, and design sophisticated Multi-Agent Workflows, including Sequential, Concurrent, and Group Chat patterns. You will also design advanced Agentic RAG systems using Qdrant Vector Stores, integrate the Model Context Protocol (MCP), and build Agent-to-Agent (A2A) communications over Web APIs. This course is designed for senior .NET developers, software architects, and software engineers who want to move from rigid microservices toward goal-oriented AI orchestration. You will also examine human-in-the-loop approvals, agent memory, and standardized agent-user communication. By completing the course, you will understand how to build, visually test, and debug secure multi-agent backends with OpenTelemetry tracing and token count metrics using .NET Aspire, while evaluating enterprise design choices around orchestration, retrieval, protocols, state, and governance.

This module introduces the course structure, prerequisites, and roadmap, outlining how to design and develop autonomous Agentic AI architectures in .NET.

What's included

3 videos

This module covers the core concepts, principles, and capabilities of AI agents, exploring the paradigm shift from traditional microservices to goal-oriented AI orchestration in enterprise software.

What's included

5 videos2 assignments

5 videosTotal 18 minutes

Whats happening in Software Architecture Industry - Why move to AI Engineering?5 minutes
The Evolution: From Microservices to Generative AI to Agentic AI4 minutes
What exactly is an AI Agent? Key Principles & Capabilities2 minutes
When to Use AI Agents (And When Not To)3 minutes
The Hard Parts: Real-world Enterprise Challenges and Limitations3 minutes

2 assignmentsTotal 40 minutes

Module Quiz30 minutes
AI Agents Quiz10 minutes

This module explores the core components of the .NET AI ecosystem, detailing how the Microsoft Agent Framework, Azure OpenAI, and .NET Aspire work together to power enterprise-grade AI orchestration.

What's included

6 videos2 assignments

6 videosTotal 30 minutes

Microsoft and .NET AI Ecosystem6 minutes
The Core Building Blocks for .NET (MEAI, MAF, MS Foundry)2 minutes
Pillar One: Microsoft.Extensions.AI libraries6 minutes
Pillar Two: Microsoft Agent Framework (MAF)4 minutes
Pillar Three: Microsoft Foundry and Azure OpenAI5 minutes
Built on the Microsoft Enterprise Stack (.NET, MAF, Aspire, Microsoft Foundry)7 minutes

2 assignmentsTotal 30 minutes

Module Quiz20 minutes
MAF and .NET AI Quiz10 minutes

This module guides you through configuring your local development workspace, setting up .NET 10 and the Azure CLI, and preparing a console application for AI development.

What's included

3 videos1 assignment

This module walks you through the fundamentals of agent development, covering execution mechanics, structured JSON output generation, and interactive visual debugging.

What's included

5 videos2 assignments

5 videosTotal 46 minutes

Getting Started with Agent Development (Basics)9 minutes
Creating and Running the Agent: Execution Mechanics8 minutes
Multi-turn Conversations with an Agent8 minutes
Forcing Determinism: Producing Structured Output8 minutes
Asp.net MinimalAgent: Visually Testing agents with DevUI14 minutes

2 assignmentsTotal 34 minutes

Module Quiz24 minutes
Agent Development Quiz10 minutes

This module focuses on extending agent capabilities through custom function tools, dynamic JSON schema generation, and implementing essential Human-in-the-Loop governance approvals.

What's included

6 videos2 assignments

6 videosTotal 46 minutes

Tool Use Design Pattern5 minutes
Tools in the Microsoft Agent Framework3 minutes
Developing Custom Function Tools with MAF10 minutes
Function Tools with Human-in-the-Loop(HITL) Approvals10 minutes
Native Framework Tools: CodeInterpreter, FileSearch, WebSearch Tool9 minutes
MinimalAgent for Function Tools: Visually Testing Agents & Tools with DevUI9 minutes

2 assignmentsTotal 45 minutes

Module Quiz30 minutes
Tool Use Quiz15 minutes

This module examines how to build conversational continuity and memory inside stateless AI environments, leveraging sessions, context providers, and distributed state persistence.

What's included

3 videos2 assignments

This module introduces graph-based multi-agent workflow architecture in .NET, detailing how to coordinate specialized executors, nodes, and conditional edges to solve complex business tasks.

What's included

5 videos2 assignments

5 videosTotal 32 minutes

Introduction - Multi-Agent Workflows & Orchestration4 minutes
The MAF Workflow Architecture: Foundational Concepts: Executors, Edges and Event5 minutes
Developing Your First Workflow9 minutes
Integrating Agents into the Workflow Engine (Agents in Workflows)4 minutes
Develop Agents into the Workflow (Agentic Workflows)10 minutes

2 assignmentsTotal 40 minutes

Module Quiz30 minutes
Workflows Quiz10 minutes

This module explores advanced enterprise multi-agent design patterns, teaching you to implement sequential, concurrent, and dynamic group chat routing strategies.

What's included

3 videos2 assignments

This module explains the concepts behind Agentic Retrieval-Augmented Generation, highlighting its active researcher loop and planning capabilities over traditional linear RAG.

What's included

4 videos2 assignments

This module guides you through building a production-grade Agentic RAG system in .NET using Qdrant vector databases, text search adapters, and semantic embeddings.

What's included

5 videos2 assignments

5 videosTotal 30 minutes

Introduction to MAF Data Sources2 minutes
Develop Basic Text RAG: The Foundational Implementation8 minutes
Design & Integrate Vector Databases with .NET and Qdrant Vector Stores5 minutes
Developing Qdrant Vector Stores for Agentic RAG App10 minutes
Test the Agentic App with Qdrant Vector Store5 minutes

2 assignmentsTotal 25 minutes

Module Quiz15 minutes
Developing Agentic RAG Quiz10 minutes

This module addresses the integration silos in AI systems by introducing standardized communication frameworks, including Agent Communication Protocol, Agent-to-Agent, AG-UI, and Model Context Protocol.

What's included

5 videos2 assignments

This module details how to implement secure, distributed Agent-to-Agent (A2A) network communications over Web APIs, using structured cards for capability discovery.

What's included

3 videos2 assignments

This module focuses on the Model Context Protocol (MCP) lifecycle, showing you how to establish secure transport connections and implement hosted tools for AI agents.

What's included

4 videos2 assignments

This module teaches you to architect and develop Agent-to-User Interface (AG-UI) integrations, enabling agents to dynamically push interactive, generative UI components to frontends.

What's included

2 videos2 assignments

This module concludes the course, offering final thoughts and next steps for continuing your journey in Agentic AI and .NET orchestration.

What's included

1 video1 assignment

What's included

1 assignment

Instructor

Mehmet Ozkaya

0 Courses0 learners

Offered by

Mehmet Ozkaya

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