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Mastering Multi-Agent Development with AutoGen

Mastering Multi-Agent Systems with AutoGen: Build, Train, and Optimize Intelligent Agents

Paulo Dichone

Created by Paulo Dichone

Explore the world of multi-agent systems as you learn to build, train, and optimize intelligent agents using AutoGen. Get hands-on with practical tools and techniques for creating agents that interact dynamically and handle complex workflows. Discover how to integrate human feedback to enhance agent performance in real-world scenarios.

Packt | Sep 2024 | 216 min

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LevelExpert
CategoriesLLM Engineering, Reinforcement Learning and Decision-Making Systems, Python

What You Will Learn

You will start by setting up your development environment and exploring core concepts of agent-based systems. Through practical exercises and real-world examples, you'll create and refine agents that can collaborate and respond to human input. Each step builds your confidence as you apply new skills to increasingly complex projects.

Key Features

  • Develop and optimize multi-agent systems using AutoGen and Python tools
  • Design agents that interact with both automated and human inputs for better results
  • Apply your skills to automate workflows in customer service and financial reporting

Target Audience

Perfect for software developers, AI enthusiasts, and professionals who are comfortable with Python and basic API usage. If you want to deepen your understanding of multi-agent systems and apply them to real-world automation tasks, you'll find this course both challenging and rewarding.

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