Microsoft Agent Framework (maf): Build Enterprise Ai Agents

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Microsoft Agent Framework (maf): Build Enterprise Ai Agents
Published 5/2026
Created by Kshitij Joy (Cloud Alchemy)
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 83 Lectures ( 5h 10m ) | Size: 3 GB[/center]
Master MAF , Multi-Agent Workflows, MCP, A2A, RAG & Real-World AI Agents with OpenAI , Claude , Foundry
What you'll learn
⚡ The Enterprise AI Agents !!
⚡ What is Microsoft Agent Framework ?
⚡ History of MAF
⚡ Semantic Kernel + Autogen -> MAF
⚡ Why Learn MAF ?
⚡ Architecture of AI Agent ?
⚡ What is a Workflow ?
⚡ Demo : Setup VsCode Environment
⚡ Explore MAF Github Repository
⚡ Demo: Ensure you have API Key in OpenAI
⚡ Demo: Create a Simple Code using OpenAI & MAF
⚡ AzureopenAI & MAF
⚡ Demo: Create a Simple Code using AzureOpenAI & MAF
⚡ Demo: Create a Simple Code using Azure Foundry & MAF
⚡ Overview of MAF SDK and Agent Framework library
⚡ What is Agent Class
⚡ Demo: Using the Agent Class
⚡ Message Class
⚡ Demo: Message Class
⚡ What is a Tool Decorator
⚡ Demo: Tool Decorator
⚡ Short Term Memory
⚡ Demo: Short Term Memory
⚡ Long Term Memory
⚡ Microsoft Agent Framework & MCP Integration
⚡ Demo: MAF with Azure MCP Server (Local MCP)
⚡ MAF Integration with A2A
⚡ Demo: Use Streaming with the Agent
⚡ Demo: How to Analyze Images with MAF
⚡ Understand the HITL Workflow
⚡ Demo: Human in the Loop with @Tools
⚡ Understand the Workflow of Middleware
⚡ Demo: Sequential Orchestration - Social Media Optimization
⚡ Demo: Concurrent Orchestration - Plan a Trip to Paris
⚡ Demo: Handoff - Product Customer Support Workflow
⚡ Build Real World Agents with MAF
⚡ AI Science Tutor
⚡ News Reader Agent
⚡ Document Insights Agent (RAG)
Requirements
❗ Understanding of Python Programming
❗ Understanding of git / VsCode
❗ Basic Understanding of Agents
Description
Microsoft Agent Framework (MAF): Build Enterprise AI Agents
Master the next generation of Enterprise AI Agents using Microsoft Agent Framework (MAF), Azure OpenAI, Azure AI Foundry, MCP, A2A, orchestration workflows, memory systems, and real-world multi-agent architectures.
Course Overview
Artificial Intelligence is rapidly evolving from simple chatbots into intelligent autonomous agents capable of reasoning, planning, collaboration, tool usage, workflow execution, and enterprise automation.
In this comprehensive hands-on course, you will learn how to buildEnterprise AI Agents using the powerfulMicrosoft Agent Framework (MAF) ecosystem.
This course takes you from beginner to advanced by covering
✨ Core foundations of AI Agents
✨ Microsoft Agent Framework architecture
✨ Azure OpenAI integration
✨ Azure AI Foundry integration
✨ Multi-agent orchestration
✨ MCP (Model Context Protocol)
✨ A2A (Agent-to-Agent communication)
✨ Human-in-the-loop workflows
✨ Memory systems
✨ Middleware
✨ Streaming responses
✨ Real-world enterprise agent patterns
✨ Production-style AI workflows
You will not only learn the theory behind AI Agents - you will build practical, real-world systems step-by-step.
What Makes This Course Different?
Unlike basic AI tutorials, this course focuses on
Enterprise-grade AI Agent architectures
Real-world workflow orchestration patterns
Multi-agent collaboration systems
Azure ecosystem integrations
MCP & A2A protocols
Practical coding demos throughout the course
Production-inspired architectures and patterns
Model-agnostic and platform-agnostic development
This course is designed to help developers, architects, AI engineers, and tech enthusiasts build modern AI systems that go far beyond simple prompt engineering. What You'll Learn
By the end of this course, you will be able to
✨ Understand how Enterprise AI Agents work
✨ Build AI Agents using Microsoft Agent Framework
✨ Integrate OpenAI, Azure OpenAI, and Azure AI Foundry with MAF
✨ Use memory systems in AI Agents
✨ Build tool-enabled AI agents
✨ Implement Human-in-the-Loop (HITL) workflows
✨ Understand and implement MCP integrations
✨ Build Agent-to-Agent (A2A) communication systems
✨ Create sequential, concurrent, and handoff orchestration workflows
✨ Design multi-agent systems
✨ Build real-world AI solutions with enterprise patterns
✨ Structure scalable AI workflows for production environments
Course Structure
Section 1 - Introduction to Enterprise AI Agents
Start with the foundations
✨ What are Enterprise AI Agents?
✨ Introduction to Microsoft Agent Framework
✨ History and evolution of MAF
✨ Semantic Kernel + AutoGen → MAF evolution
✨ AI Agent architecture fundamentals
✨ Understanding workflows and orchestration
Section 2 - MAF: Model Agnostic & Platform Agnostic
Learn how MAF works across multiple AI ecosystems
✨ OpenAI integration
✨ Azure OpenAI integration
✨ Azure AI Foundry integration
✨ VSCode setup
✨ Environment configuration
✨ API key management
✨ Creating your first AI Agents with MAF
Hands-on demos included throughout.
Section 3 - Deep Dive into MAF Concepts
Master the core building blocks of the framework
✨ Agent Class
✨ Message Class
✨ Tool Decorators
✨ Short-Term Memory
✨ Long-Term Memory
✨ MCP (Model Context Protocol)
✨ Azure MCP Server integration
✨ A2A Protocol fundamentals
✨ Agent-to-Agent communication architecture
You will also execute and understand complete working implementations.
Section 4 - Building Basic Agents with Real Tools
Build interactive AI systems using
✨ Streaming responses
✨ Image analysis workflows
✨ Human-in-the-Loop approvals
✨ Middleware architecture
✨ Tool integrations
This section introduces production-style interaction patterns used in enterprise AI systems.
Section 5 - MAF Workflows & Multi-Agent Systems
Dive into orchestration and collaborative AI systems
Sequential Orchestration
Build
✨ Social Media Optimization Workflow
Concurrent Orchestration
Build
✨ AI Travel Planner for Paris
Handoff Orchestration
Build
✨ Product Customer Support Workflow
You'll learn how agents collaborate, delegate tasks, and coordinate workflows intelligently.
Section 6 - Build Real-World Enterprise AI Agents
Apply everything you've learned by building
AI Science Tutor
News Reader Agent
Document Insights Agent
You will understand
✨ System architecture
✨ Workflow design
✨ Code implementation
✨ Execution flow
✨ Real-world enterprise use cases
Technologies Covered
✨ Microsoft Agent Framework (MAF)
✨ Azure OpenAI
✨ Azure AI Foundry
✨ OpenAI APIs
✨ Python
✨ MCP (Model Context Protocol)
✨ A2A Protocol
✨ Multi-Agent Workflows
✨ Middleware
✨ Memory Systems
✨ Streaming AI Responses
Who this course is for
⭐ Developers & Tech Enthusiasts
⭐ Beginners looking to learn Agent Frameworks
⭐ Solution Architects & IT Professionals
⭐ Students & Career Switchers
⭐ Cloud Engineers
⭐ AI Engineers
⭐ Gen-AI Architects

Code:

https://rapidgator.net/file/0d6fd8b2d12dd5605657e61a49578571/Microsoft_Agent_Framework_(MAF)_Build_Enterprise_AI_Agents.part4.rar.html
https://rapidgator.net/file/af17f88504885abf4d28cc397466be4a/Microsoft_Agent_Framework_(MAF)_Build_Enterprise_AI_Agents.part3.rar.html
https://rapidgator.net/file/18d2b942c94fd9657e08346e265bda3d/Microsoft_Agent_Framework_(MAF)_Build_Enterprise_AI_Agents.part2.rar.html
https://rapidgator.net/file/57f725a82ad34d88b1d4ecc74fe902a5/Microsoft_Agent_Framework_(MAF)_Build_Enterprise_AI_Agents.part1.rar.html

https://nitroflare.com/view/68E6A04E1031C12/Microsoft_Agent_Framework_%28MAF%29_Build_Enterprise_AI_Agents.part4.rar
https://nitroflare.com/view/BACB6E4DD2BEE23/Microsoft_Agent_Framework_%28MAF%29_Build_Enterprise_AI_Agents.part3.rar
https://nitroflare.com/view/D710B7CBDE0BC74/Microsoft_Agent_Framework_%28MAF%29_Build_Enterprise_AI_Agents.part2.rar
https://nitroflare.com/view/202FFC3C508ED65/Microsoft_Agent_Framework_%28MAF%29_Build_Enterprise_AI_Agents.part1.rar