Microsoft Agent Framework (maf) Build Enterprise Ai Agents

[Emperor2011]

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
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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 Buy Premium From My Links To Get Resumable Support and Max SpeedTools
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


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