Building AI Agents with AutoGen

Course details

In this comprehensive, Harshit Tyagi—a data science instructor and mentor—equips you with the skills to develop AI agents using the AutoGen framework. Covering key design patterns such as Reflection, Tool Use, and Multi-Agent Collaboration, this course enables the creation of multi-agent systems capable of handling complex tasks autonomously. Through hands-on projects, you will integrate external tools and refine agent capabilities with human feedback. Ideal for intermediate to advanced users with basic Python experience, this course prepares you to automate complex workflows effectively.

Learning objectives
Build multi-agent systems using the Autogen framework to handle complex tasks autonomously.
Implement and utilize key agentic design patterns such as Reflection, Tool Use, and Multi-Agent Collaboration.
Customize and deploy AI agents capable of interacting and collaborating to solve real-world problems.
Integrate external tools and APIs within agent workflows to enhance functionality and performance.
Leverage human feedback to refine and improve agent capabilities, ensuring robust and accurate outputs.

Concepts

0. Introduction

01 - Let's build some AI agents with AutoGen

1. AI Agents with AutoGen

02 - Understanding AI agents
03 - Overview of the AutoGen framework
04 - Configuring LLMs and setting up AutoGen
05 - Building a basic

2. Developing a Research Assistant

06 - Multi-agent conversation
07 - Research assistant design
08 - Creating agents for the assistant
09 - Creating tasks for the agent

3. Solving Complex Tasks Using Nested Chats

10 - Nested chats to add multi-level reviewing
11 - Creating reviewer agents
12 - Creating nested chat

4. Tool Use and Adding Internet Capability

13 - What are tools
14 - Add calculation tool to math tutor agent
15 - Register tools and run the agent
16 - Add web search ability to the research assistant

5. Building an End-to-End Coding Copilot in Autogen

17 - Code executors in AutoGen
18 - Create agents
19 - Define task to analyze data
20 - Execute user-defined code in AutoGen

6. Teachable Agents

21 - Introduction to teachable agents
22 - Setting up teachable agents
23 - Teaching and retrieving information

7. Building a Data Analysis Company with Group Chat

24 - Organizational structure of agents
25 - Build the group chat
26 - Speaker selection config

Conclusion

27 - Next steps with AutoGen