# Build Intelligent Multi-Agent Applications with AutoGen – Now on Udemy!

Are you ready to take your AI development skills to the next level? Whether you're an AI enthusiast, a machine learning engineer, or a software developer eager to build intelligent systems, **my brand-new Udemy course** — **"Build Intelligent Multi-Agent Applications with AutoGen"** — is the perfect place to start.

This course is built using [**AutoGen**](https://microsoft.github.io/autogen) **version 0.4** and works seamlessly with **AutoGen 0.5**, giving you access to the latest features in multi-agent system development. I’ve designed it to be as practical and hands-on as possible covering important AutoGen concepts — packed with code demos, real-world use cases, and complete project walkthroughs.

👉 [Course Link "Build Intelligent Multi-Agent Applications with AutoGen" on Udemy](https://www.udemy.com/course/build-intelligent-multi-agent-applications-with-autogen/?referralCode=3D7FD9391F8FC7C24BE0)

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## 🎯 What You’ll Learn

By the end of the course, you’ll be able to:

* Design, build, and deploy **multi-agent systems** using the **AutoGen AgentChat framework**.
    
* Integrate **OpenAI** or even use open-source LLMs like **LLaMA 3.2** via **Ollama**.
    
* Understand how to construct intelligent agents and teams that can **collaborate, communicate, and coordinate** across tasks.
    
* Implement advanced capabilities like **SelectorGroupChat**, **reflect\_on\_tool\_use**, **termination conditions**, and **human-in-the-loop interaction**.
    
* Build and optimize two real-world AI agent projects:
    
    * A **Streamlit app with an AI assistant to explain your code and provide optimization suggestions**
        
    * A **Multi-agent AI chatbot for customer support**
        

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## 📚 Course Structure & Topics Covered

The course is structured into detailed sections, starting from the basics and progressing to advanced concepts. Each section is packed with **hands-on notebooks**, **explanatory slides**, and **code walkthroughs**.

### 🔹 Section 1: Course Setup & Introduction

* What this course is about
    
* Who should take it and the prerequisites
    
* Setting up Python 3.10+, VS Code, and creating a virtual environment
    
* Downloading the GitHub repo and installing required libraries
    

### 🔹 Section 2: Understanding Multi-Agent Systems and AutoGen

* What are AI agents?
    
* Key components and real-world use cases
    
* Introduction to the **AutoGen framework**
    
* Deep dive into the **AgentChat architecture**
    

### 🔹 Section 3: Models

* What are LLMs and how to choose the right one
    
* Using OpenAI/Azure OpenAI with `.env` secrets
    
* Running **LLaMA 3.2** using **Ollama**
    

### 🔹 Section 4: Core Concepts in AutoGen

* Messages & TextMessage format
    
* `AssistantAgent` & `UserProxyAgent` deep dive
    
* Understanding `on_messages()`, `run()`, `reflect_on_tool_use`, and function calling
    
* Multi-modal capabilities with text + images
    
* Streaming token outputs for real-time feedback
    

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## 🔹 Section 5: Project 1 AI Assistant Streamlit App

* Introduction to the project and what it solves
    
* Full code walkthrough and optimization tips
    
* How to deploy a Streamlit interface for agent interaction
    

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## 🤖 Section 6: Teams & SelectorGroupChat

* When and how to use teams of agents
    
* Understanding `GroupChat`, `RoundRobin`, and `SelectorGroupChat`
    
* Defining custom selectors
    
* Human-in-the-loop input and termination strategies
    

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## 🛠️ Section 7: Project 2: Multi-Agent Chatbot for Customer Support

* Build an intelligent customer support chatbot using multiple agents
    
* Handle order placement, user queries, product search, and even basic support escalation
    
* Code walkthrough and design explanation
    

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## 🧠 Section 8: Advanced Concepts in Multi-Agent Systems

* Managing **agent and team states**
    
* Exploring **Magentic-One**, a generalist multi-agent system for web and file-based tasks
    

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## 🎓 Why Take This Course?

This course is perfect if you:

* Want to **build production-ready multi-agent AI systems**
    
* Are exploring **AutoGen** and want to go beyond documentation
    
* Are working on **agent orchestration**, **tool use**, or **AI workflows**
    
* Need to develop **real-world AI chatbots and assistants**
    

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## 🔗 Enroll Now

👉 [Enroll in "Build Intelligent Multi-Agent Applications with AutoGen" on Udemy](https://www.udemy.com/course/build-intelligent-multi-agent-applications-with-autogen/?referralCode=3D7FD9391F8FC7C24BE0)

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If you’re curious about the future of AI, agent collaboration, and building smarter apps — this course is your launchpad. I’ve poured in my hands-on experience, so you can skip the trial and error and go straight to building intelligent systems.

Let’s build the future — one agent at a time.