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Genre: eLearning
Master MAF with Python , Observability, MCP, A2A, RAG , Real-World 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)
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 build Enterprise AI Agents using the powerful Microsoft 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
This course is perfect for:
- AI Engineers
- Python Developers
- Software Architects
- Cloud Engineers
- Azure Developers
- GenAI Enthusiasts
- Developers exploring AI Agents
- Professionals building enterprise AI solutions
- Anyone interested in the future of autonomous AI systems
Requirements
Basic understanding of:
- Python programming
- APIs
- AI/LLM concepts (helpful but not mandatory)
No prior experience with Microsoft Agent Framework is required.
By The End Of This Course
You will have the skills to design and build:
- Enterprise AI Agents
- Multi-Agent Systems
- Workflow-driven AI applications
- Tool-enabled autonomous agents
- Real-world AI automation architectures
You’ll also gain hands-on experience with modern enterprise AI engineering patterns used in next-generation AI systems.
Start Building Enterprise AI Agents Today
The future of AI is agentic systems, orchestration, collaboration, and intelligent workflows.
Join this course and start building real-world Enterprise AI Agents using Microsoft Agent Framework today.
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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