Udemy – Build intelligent Multi-Agent applications with AutoGen
English | Tutorial | Size: 1.67 GB
Master AutoGen 0.5 to Build Scalable, Intelligent Multi-Agent AI Applications for Real-World Tasks
The future of AI is multi-agent collaboration, where intelligent agents work together to solve complex tasks efficiently. This course is designed to help you master the AutoGen framework (v 0.4 and v 0.5), a powerful tool for building and orchestrating AI agents that interact, reason, and collaborate. Whether you’re an AI enthusiast, a developer, or a researcher, this course will equip you with the skills to build and deploy scalable multi-agent applications.
What You Will Learn
Fundamentals of Multi-Agent Systems – Understand the core components of AI agents, their use cases, and how they enhance AI-driven workflows.
Setting Up Your Development Environment – Learn how to install Python, set up VS Code, create virtual environments, and install necessary dependencies.
Deep Dive into AutoGen – Explore AutoGen’s architecture, libraries, and capabilities, including working with OpenAI and open-source LLaMA models.
Key AutoGen Concepts – Master agent messaging, user proxy agents, assistant agents, streaming responses, and multi-modal AI integration.
Team-Based AI Agent Collaboration – Learn how to organize AI agents into teams, define termination conditions, and implement SelectorGroupChat for LLM-based agent selection.
Advanced Multi-Agent Concepts – Explore state management in AI workflows and dive into Magentic-One, a generalist multi-agent system for web and file-based tasks.
Hands-On Projects – Implement real-world AI agent applications, including:
Project 1: Develop a Streamlit-based AI Agent App, understand and optimize code with agent
Project 2: Build a Multi-Agent AI Chatbot for Customer Support that interacts with users of ecommerce portal and processes queries dynamically.
Who Should Take This Course?
AI & ML practitioners looking to build intelligent AI agents
Developers interested in AutoGen, AutoGen AgentChat and AI automation
Researchers exploring multi-agent collaboration
Anyone eager to develop AI-powered applications
By the end of this course, you will have hands-on experience building and optimizing AI-driven multi-agent systems using AutoGen, setting you up to develop next-gen AI solutions.
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