In this session, we'll skip the basics and dive straight into creating advanced AI agent systems using Semantic Kernel and AutoGen (NET). I’ll walk you through real-world implementations of collaborative agent patterns where we will reach the limits of Semantic Kernel and then we will break through them with some custom-made open-source extensions that I created.
We will use some useful agentic workflow collaboration patterns and to build dynamic workflows where agents collaborate, adapt, and handle complex tasks autonomously and collaboratively.

We will also explore how to integrate the best of Semantic Kernel and AutoGen on those workflows for more dynamic and efficient Agentic systems.
This session is designed for those looking to go beyond the basics and harness the full potential of Agentic AI today.

We will also give a peek at the new Semantic Kernel Process Framework