Harnessing the Power of AI with GitHub Copilot: Turbocharge Your Development Workflow

Join us for an interactive session on leveraging GitHub Copilot, the AI-powered coding assistant, to supercharge your development process. Learn how to seamlessly integrate Copilot into your workflow, explore its capabilities, and uncover best practices to maximize its potential in enhancing code quality and developer productivity. Don't miss this chance to elevate your coding experience with AI!

requirements: fast Internet , non-filtered traffic to access LLM's and other AI services.
Target: Developers or Team Leads interested in the real abilities of GH Copilot.

Enter the AI Agent era

On this session we will jump in into the future of AI, Agents or, also called Agentic systems. We will understand the concepts through raw, pure, practice - read hands on here - and I'll show you code that makes sense out of the nonsense and let you in awe of what is possible right here and right now. Shall we? ;)

AI - demos (with .NET code) - and fun.

Agents, Semantic Kernel & Azure AI Foundry

A fun dive into Agentic AI, using Semantic Kernel hosted in the cloud with Azure AI Foundry. We'll peek on how to expand the Agents superpowers with Microsoft Graph, custom hardware and more.

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Lessons learned on Applied Advanced Agentic AI

In this session, we will peek at some projects and tools I have been working on using the latest models and Agentic AI techniques, showing what works best and gets the job done.
We will see some Agentic AI workflows in action delivering business value, then understand the concepts behind them and, lastly, the code.
This session will focus mostly on Semantic Kernel and some custom implementations for the OpenAI RealTime API.

The Future of Microsoft’s Agentic AI: Patterns, Pitfalls & the Road Ahead

Agentic AI is evolving fast — and Microsoft is reshaping its AI ecosystem to make multi-agent collaboration smarter, faster, and more powerful than ever.

In this session, we’ll explore the latest and greatest in Agentic AI for the Microsoft stack — from advanced multi-agent collaboration patterns you can use today, to insights on the new CoreAI division, the merging of Semantic Kernel and AutoGen, and what the upcoming Agents Framework could mean for developers.

Through real, working code demos, you’ll see how to design agent workflows that can reason, plan, and collaborate to tackle complex tasks — while understanding the current limits and the opportunities that lie ahead. (if access to the latest bits is provided, otherwise will show this with Semantic Kernel multi-agent stack)

Whether you’re building your first AI agent or pushing the boundaries of what’s possible, you’ll leave with a clear view of where we are, what you can build now, and where Microsoft’s agentic AI is headed next.

Agent Framework: The New Standard for Agentic Development

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.

Agent Framework: The Not-So-Secret Superpower — Workflows

Agents are powerful on their own—but together, they become superpowered. In this session, we explore Microsoft Agent Framework Workflows, the not-so-secret capability that turns standalone agents into intelligent, coordinated systems. You’ll discover how workflows connect multiple agents, decisions, and human input into seamless, dependable processes that mirror real-world collaboration.

We’ll start with a simple linear flow, then evolve it into a more advanced workflow that introduces branching, human-in-the-loop interactions, and adaptive control—showing how workflows give agents coordination, resilience, and purpose. We’ll discuss the concepts behind agentic workflows, what makes them different from traditional graph orchestrations, and why they represent the future of enterprise-grade automation.

Through practical examples and case studies, you’ll see how workflows elevate agents from single-task executors to cooperative problem solvers—showcasing the superpower that makes the Agent Framework stand apart: the ability to think, act, and collaborate as one.