Multi-Agent Development with AutoGen Online Course

Multi-Agent Development with AutoGen Online Course

This course teaches the fundamentals and advanced concepts of multi-agent systems using AutoGen. You’ll begin by learning agent-based system principles and setting up your development environment with Python, the OpenAI API, and essential tools. The course progresses into advanced topics like multi-agent conversations, integrating UserProxyAgent and AssistantAgent, and using code executors. Hands-on exercises help you create autonomous agents that interact dynamically, incorporating human feedback to improve performance. Real-world applications, such as automating customer service workflows and generating financial reports, demonstrate AutoGen’s versatility.

By the end, you’ll be able to design, optimize, and deploy multi-agent systems to streamline complex tasks.

Who should take this Course?

This course is ideal for developers, AI enthusiasts, and IT professionals interested in multi-agent systems and autonomous agent design. It suits anyone looking to leverage AutoGen for practical applications such as workflow automation, customer support, or report generation. Students and professionals with a background in Python or AI development will benefit from hands-on exercises and real-world examples. Additionally, those aiming to build intelligent, collaborative agents that enhance efficiency and decision-making in complex tasks will find this course highly valuable.

What you will learn

• Build multi-agent systems with AutoGen.
• Implement complex agent interactions and workflows.
• Design agents using human feedback for optimization.
• Create and use code executors in AutoGen projects.
• Develop agents for real-world automation scenarios.
• Integrate and manage various human input modes.

Course Outline

Introduction

• Introduction

Development Environment Setup

• Setup OpenAI API Key
• Course Structure and OpenAI Account Setup
• Python Installation - Instructions

OPTIONAL - Agents Crash Course

• Agents - Deep Dive - Overview of what is an Agent
• Agents Crash Course
• Agents Characteristics and Use cases

AutoGen Deep Dive

• AutoGen Overview and Building Blocks and Key Features
• Hands-on - Create our First AutoGen Agent
• AutoGen Building Blocks & Multi-Agent Conversations Agent Types - Deep Overview
• UserProxyAgent and AssistantAgent - Chat
• Multi-Agent Conversation Framework Flow - Diagram Overview and Explanations
• Code Executors in AutoGen - Local and Docker
• Hands-on - Simple Code Executor to Plot a Graph
• Adding Human Input to Get Different Plottings
• UserProxyAgent and AssistantAgent Inherit from ConversableAgent
• Best Practices - UserProxyAgent and AssistantAgent
• Human Feedback in Agents - Full Overview
• Summary

Hands-on Human Input Mode

• Human Input Modes - Overview
• Hands-on - NEVER Human Input Mode
• Hands-on - ALWAYS Human Input Mode
• TERMINATE - Human Input Mode
• LLM Caching - Overview

AutoGen and Tools

• AutoGen and Tools - Overview
• Hands-on - AutoGen Simple tool - Add and Multiply Numbers
• Hands-on - Travel Advice Agents with Tools - Real world Use Case - 1
• Hands-on - Travel Planner Agents Workflow - Real world Use case - 2
• Summary

AutoGen Conversation Patterns

• Conversation Patterns & Two-Agent Chat - Overview
• Hands-on - Two-Agent Conversation Deep Dive - The initiate_chat method
• Sequential Chats - Overview
• Hands-on - Sequential Chat
• GroupChat and GroupChatManager Overview
• Hands-on - GroupChat Agents in Action
• Hands-on - Adding GroupChat into Sequential Chat
• Nested Chat
• Hands-on - Nested Chats - Writer Assistant and Critic
• Summary

Hands-on - Real World Use Cases

• Customer Service Automation Use Case
• Financial Report Writer Use Case
• Research Paper Automation Use Case

Wrap up and Next Steps

• Wrap up and Next Steps