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

Paulo Dichone

$9.99 ~~$89.99~~

Video Sep 2024 3hrs 36mins 1st Edition

Paulo Dichone

$9.99 ~~$89.99~~

Video Sep 2024 3hrs 36mins 1st Edition

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Key benefits

Learn to develop, configure, and optimize multi-agent systems using AutoGen.
Build and train agents through practical, step-by-step tutorials.
Apply your skills to real-world scenarios like customer service automation and financial report writing.

Description

Master the intricacies of multi-agent systems with this course focused on AutoGen. Starting with a fundamental concepts of agent-based systems, you'll set up your development environment with the OpenAI API, Python, and other essential tools. This foundation will prepare you for deeper explorations into agent functionalities and the architecture of AutoGen, equipping you with the knowledge needed to create robust, autonomous agents. As you progress, you’ll delve into advanced topics such as multi-agent conversations, the integration of UserProxyAgent and AssistantAgent, and the practical use of code executors. Hands-on exercises will solidify your understanding as you create agents that interact dynamically, leveraging both automated and human inputs. You’ll explore various conversation patterns, agent types, and learn how to effectively incorporate human feedback to refine agent performance. Towards the course’s conclusion, you'll apply skills to real-world scenarios, such as automating customer service workflows and generating financial reports. These practical examples demonstrate the versatility of AutoGen in diverse applications. By the end, you'll be well-equipped to build and optimize multi-agent systems that can transform complex tasks into streamlined, intelligent workflows.

Who is this book for?

This course is ideal for software developers, AI enthusiasts, and professionals with a background in Python programming who are interested in multi-agent systems. Prior experience with APIs and basic AI concepts is recommended to fully engage with the course material.