In this session, I will explore how to use Semantic Kernel and AutoGen to create Agentic AI workflows that handle progressively complex tasks and how to make the best use of those Agent Workflows. Through crafted concept explanations exemplified by demos (aka real working code), we’ll highlight both the concepts and the incredible power of these tools and their current limits you need to know. We will also peek at the current state and what is to come. Whether you're new to Gen AI or experienced, you'll leave with practical insights on how to best implement Agentic AI today, while understanding the boundaries of current technology - and what comes after.

AI agents are more than conversation—they’re decision makers and actors. In this session, we dive into Microsoft Agent Framework, showing how it empowers you to build robust, production-ready agents with minimal boilerplate. We’ll cover the core building blocks—agents, tools, orchestration—and show why this framework is a next-gen unifier that brings together ideas from Semantic Kernel, AutoGen, and open AI runtimes. Then, we’ll build a working agent live, wiring a tool and driving a simple scenario, to show how little code is actually needed to power something useful. Along the way, you’ll see the elegance, flexibility, and developer ergonomics that set Agent Framework apart. This is not theory: you’ll see it in action, and walk away inspired by how much you can build with so little.