Udemy – Build intelligent Multi-Agent applications with AutoGen 0.5 2025-4

Udemy – Build intelligent Multi-Agent applications with AutoGen 0.5 2025-4 Downloadly IRSpace

Aug 16, 2025 - 07:09 Updated: Aug 17, 2025 - 19:45

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Udemy – Build intelligent Multi-Agent applications with AutoGen 0.5 2025-4

Build intelligent Multi-Agent applications with AutoGen 0.5 course. This course teaches you how to use the AutoGen framework to build intelligent multi-agent applications that can interact, reason, and collaborate to solve complex problems. In this course, you will learn the basics of multi-agent systems, the main components of intelligent agents, and their applications. First, you will learn how to set up a development environment, including installing Python, VS Code, and creating virtual environments. Then, you will explore the AutoGen architecture, libraries, and capabilities, including integration with OpenAI and LLaMA models. Key concepts such as messaging between agents, User Proxy and Assistant agents, streaming responses, and multi-faceted AI are taught. You will also learn how to organize agents into teams, specify termination conditions, and use SelectorGroupChat for agent selection based on language models. The advanced section explores state management in workflows and multi-agent systems such as Magentic-One for web and file-based tasks. The course includes two hands-on projects: building a Streamlit-based intelligent application and developing a multi-agent customer support chatbot for an e-commerce portal. By the end of the course, you will have the skills to design and optimize scalable multi-agent systems and be ready to develop advanced AI solutions.

What you will learn:

Understanding Multi-Agent Systems – Learn the fundamentals of multi-agent architectures, their benefits, and real-world applications in AI-based workflows.
Hands-on with AutoGen – Gain hands-on experience using AutoGen 0.4 and 0.5 to build and customize intelligent multi-agent problem-solving applications.
Agent Collaboration and Communication – Exploring how multiple AI agents interact, share knowledge, and efficiently coordinate tasks using structured protocols.
Building scalable AI applications – developing AI solutions for real-world scenarios, such as customer support.

Who is this course suitable for?

This course is designed for AI enthusiasts, GenAI professionals, software developers, and Machine Learning experts who want to build intelligent multi-agent applications using AutoGen.