Workshop Title: Developing AI Agents using AutoGen
Presenters: Ravi Shankar Goli, XiaoYun Zhang and Eric Zhu, Microsoft
Introduction:
In this interactive session, we will dive into AutoGen, Microsoft’s powerful framework for creating intelligent AI agents capable of collaborating, solving problems, and executing complex workflows autonomously. Designed for developers and AI enthusiasts, this hands-on presentation will feature live demonstrations showcasing how to build multi-agent systems using AutoGen’s advanced capabilities. Attendees will explore real-world examples, from coding assistants to workflow automation, and gain practical experience in configuring and managing agent workflows through AutoGen’s intuitive interface.
The session will also briefly showcase AutoGen Studio, a low-code tool that enables rapid prototyping of AI agents through a user-friendly drag-and-drop interface. This makes it easier for developers to experiment with agent workflows, even with limited coding experience
Prerequisites:
- Basic knowledge of Python or any language and LLMs.
- Laptop with WiFi
- OpenAI/Azure OpenAI account
Presenters Bios:
Ravi Shankar Goli, Principal Software Engineer Manager, Microsoft
Ravi has over a decade and a half experience in designing, developing and implementing software applications. In his current position, he is leading a team in building next-generation AI and copilot products.
Ravi Shankar Goli | LinkedIn
XiaoYun Zhang, Senior Software Engineer, Microsoft
XiaoYun Zhang is an enthusiastic software engineer and open-source contributor in Microsoft DevDiv. He is the co-author of AutoGen framework and leads the development of AutoGen.Net library.
xiaoyun zhang | LinkedIn; LittleLittleCloud (Xiaoyun Zhang) (github.com)
Eric Zhu, Senior Researcher, Microsoft Research
Eric’s current project is AutoGen, an open-source framework for building AI agents and multi-agent systems. AutoGen is a central hub that brings together agentic AI research and applications, like PyTorch for deep learning.