Build intelligent Multi-Agent applications with AutoGen 0.7

About this course

Microsoft has re-architected the AutoGen framework in version 0.4, and this course is entirely based on the updated version.

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+), 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 LearnFundamentals 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

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