Building intelligent applications with Large Language Models and Semantic Kernel en de

Artificial Intelligence is rapidly transforming the tech industry and soon society too. Azure and .NET have emerged as leading Cloud, AI and IoT development platforms. As a professional enterprise developer, you can leverage the amazing Azure's Open AI capabilities to build intelligent applications that can help solve new kinds of problems.
In this demo-powered session, we'll demonstrate how .NET and any other developers can use Microsoft Semantic-Kernel to leverage Azure OpenAI and build applications that cannot be implemented by using common development approaches. We'll start with an overview of Azure's Open AI capabilities and how they can be used with any programming language, not only. NET. Then, we'll deep dive into Semantic Kernel and demonstrate how to build intelligent applications.

This session is created for Software Architects, Developers and all other software engineers who build and want to build applications with Large Language Models.

Azure OpenAI und Semantic Kernel für Softwareentwickler en de

Künstliche Intelligenz verändert die Technologiebranche rapide und bald auch die Gesellschaft. Azure und .NET haben sich als führende Cloud-, AI- und IoT-Entwicklungsplattformen etabliert. Als professioneller Enterprise-Entwickler können Sie die beeindruckenden Open-AI-Fähigkeiten von Azure nutzen, um intelligente Anwendungen zu erstellen, die bei der Lösung neuer Arten von Problemen helfen können.

In dieser Demo-Session zeigen wir, wie .NET und andere Entwickler das neue Microsoft Semantic-Kernel nutzen können, um Azure OpenAI einzusetzen und Anwendungen zu entwickeln, die mit herkömmlichen Entwicklungsansätzen nicht implementiert werden können. Wir beginnen mit einem Überblick über Azures Open-AI-Fähigkeiten und wie sie mit jeder Programmiersprache, nicht nur .NET, verwendet werden können. Anschließend tauchen wir tief in Semantic Kernel ein und zeigen, wie man intelligente Anwendungen entwickelt.

Diese Session richtet sich an Softwarearchitekten, Entwickler und alle anderen Softwareingenieure, die Anwendungen mit populären Sprachmodellen implementieren möchten.

Best practices: Building Enterprise Applications that leverage GenAI en de

The new era of software development brings intelligent applications powered by Large Language Models (LLMs) and Generative AI (GenAI), revolutionizing business processes. While these tools offer immense potential, building AI-powered applications involves challenges beyond prompt optimization or low-code techniques.

In this demo-driven session, you’ll learn to build enterprise applications seamlessly integrating GenAI. We’ll showcase OpenAI, Azure OpenAI, and explore advanced concepts using Microsoft’s Semantic Kernel, an open-source toolkit for creating enterprise-grade AI agents.

Targeted at developers, architects, and technical decision-makers, this session provides valuable insights into GenAI and intelligent application development—even for those without a C# background.

Best practices: Building Enterprise Applications that leverage GenAI en de

Die neue Ära der Softwareentwicklung bringt intelligente Anwendungen hervor, die von Large Language Models (LLMs) und Generativer KI (GenAI) angetrieben werden und Geschäftsprozesse revolutionieren. Obwohl diese Tools enormes Potenzial bieten, geht die Entwicklung KI-gestützter Anwendungen über die Optimierung von Prompts oder Low-Code-Techniken hinaus.

In dieser praxisorientierten Session erfahren Sie, wie Sie Unternehmensanwendungen entwickeln, die GenAI nahtlos integrieren. Wir präsentieren OpenAI, Azure OpenAI und vertiefen fortgeschrittene Konzepte mit Microsofts Semantic Kernel, einem Open-Source-Toolkit zur Erstellung von KI-Agenten auf Unternehmensniveau.

Diese Session richtet sich an Entwickler, Architekten und technische Entscheidungsträger und bietet wertvolle Einblicke in Generative KI und die Entwicklung intelligenter Anwendungen – auch für Teilnehmer ohne C#-Kenntnisse.

Azure Open AI for professional Enterprise Developers en

Artificial Intelligence is rapidly transforming the tech industry and soon society too. Fortunately, Azure and .NET have emerged as leading Cloud, AI and IoT development platforms. As a professional enterprise developer, you can leverage the amazing Azure's Open AI capabilities to build intelligent applications that can help solve new kinds of problems.

In this demo-powered session, we'll demonstrate how .NET developers can use Azure Open AI to build applications that cannot be implemented by using common development approaches. We'll start with an overview of Azure's Open AI capabilities and how they can be used with any programming language, not only. NET. Then, we'll dive into many demos of how to build intelligent applications using Azure cognitive services, such as OpenAI.

This session is designed for Software Architects, Developers and all other software engineers, who build and want to build applications with Large Learning Models.

Modern Serverless Applications with Azure Durable Functions, ACI and Docker en

In the modern world of digital transformation and the increasing popularity of cloud technology, almost every single application becomes part of a more complex distributed system. With the help of Serverless services, some parts of applications can be implemented more easily and efficiently.
In this session, you will learn how to implement and operate long-running applications using Azure Functions. You will learn about developing and monitoring long-running applications useful for integration scenarios.

This deep-dive session demonstrates how durable functions can be used to implement various complex scenarios. You will learn about orchestrations, actor models and durable entities. Moreover, you will also learn how to deploy and monitor long-running processes composed in Docker containers and operated in the Azure Container registry.

This session focuses on software architects and developers with the goal of designing and implementing modern applications with cloud technologies. Demos in this session include lessons learned and best practices from real customer projects.

Deep Dive: Mastering Agents, MCP and other hypes en

Building intelligent applications and integrating AI into modern software is an exciting but complex task.
Real-world AI solutions demand much more than Agents defined by prompts, low-code tools, or data science prototypes. Agents require robust architectures, integration flexibility, and intelligent design.

In this demo-driven session, you’ll discover how to build AI agents that seamlessly integrate into any type of application, across virtually any platform or operating system. You’ll also learn how to extend agent capabilities using Function Calling with MCP and the RAG algorithm.

Even if C#/.NET isn’t your primary focus, this session will help you understand the core concepts behind agents and plugins, empowering you to create your own custom Agents by using Microsoft Agent Framework. You’ll also explore Microsoft Foundry, learn how to work with different AI models, and see how to leverage the Agent Framework and Semantic Kernel to bring intelligent solutions to life.
This session is a technical presentation designed for developers, architects, and technical decision-makers.

GenAI Unpacked: Beyond Basics en

In this demo-driven engineering session, we will explore the hidden aspects of Generative Artificial Intelligence that go far beyond prompt engineering and basics. The goal of the session is to learn how GenAI works and how to implement various use cases, such as classification, recommendation, and semantic search.

We will start with core topics such as tokens, demonstrating how transformers learn associations between them. Next, we will discuss completions to explain how text generation works, providing a deeper understanding of model functionality. Additionally, we will cover embedding vectors, cosine similarity, and vector databases to explain the semantics behind models.

Afterwards, you will learn how to expand and manipulate model knowledge using techniques like Retrieval Augmented Generation (RAG).

Finally, we will explore different model types and tools such as OpenAI, Microsoft Foundry (also a local one) and more.

This session is a technical presentation designed for anyone interested in understanding and building intelligent applications leveraging large language models.

Best practices: Building Enterprise Applications with AI Agents en

The new era of software development introduces a new breed of intelligent applications, unlike anything we have seen before. It is fundamentally about integrating Large Language Models (LLMs) and Generative AI (GenAI) into various applications. This integration offers incredible opportunities for enhancing business processes in entirely novel ways by using Agents. However, building intelligent applications that leverage AI presents significant challenges, beyond just finding the best prompts or relying on low-code techniques.

In this demo-driven session, you’ll discover how to build AI agents with the Microsoft Agent Framework. You’ll also learn how to extend agent capabilities using Function Calling with MCP and the RAG algorithm.

This session is aimed at developers, architects, and technical decision-makers within enterprises. Even if C# is not your primary language, this session offers valuable insights into the realm of GenAI and modern intelligent applications. You’ll also explore Azure Foundry, learn how to work with different AI models, and see how to leverage the Agent Framework and Semantic Kernel to bring intelligent solutions to life.

A New Perspective: Revolutionizing Azure Management with AI en de

In the complex landscape of Azure resource management, enterprises have traditionally depended on a diverse array of tools and interfaces: the intuitive Azure Portal for visual operations, Azure Resource Manager (ARM) templates for declarative deployments, the concise Bicep language (Microsoft's recommended evolution of ARM), command-line power with Azure CLI and Azure PowerShell, and multi-cloud flexibility through Terraform.

But with an ever-growing ecosystem and continuous team change, how do you select the optimal approach? What if we shifted paradigms entirely?
This session explores a groundbreaking approach that leverages generative AI to manage Azure resources through natural-language interactions.
Dive into an inspiring, demo-driven experience where you'll discover how AI can streamline operations by simply "talking" to the Azure CLI, unlocking unprecedented efficiency and simplicity.

Beyond this innovative management approach, you'll gain important insights into assembling generative AI components (Agents, Tools, MCP server and more) for a new high-impact approach.

This session is tailored for strategists and decision-makers, as well as technical professionals. This talk will definitely inspire you with actionable ideas to drive organisational agility, reduce operational overhead, and foster AI-driven innovation in cloud infrastructure.

Die neue Perspektive: Azure Management mit KI neu denken en de

Im komplexen Umfeld des Azure-Ressourcenmanagements haben Unternehmen und Teams traditionell auf eine vielfältige Palette an Tools und Schnittstellen gesetzt: das intuitive Azure-Portal (Visual & Manual), Azure Resource Manager (ARM - declarative templates) , Bicep (Microsofts empfohlene Weiterentwicklung von ARM), Powerfull Azure CLI und Azure PowerShell sowie Multi-Cloud-Flexibilität durch Terraform.

Angesichts eines stetig wachsenden Anforderungs stellt sich die Frage: Wie wählt man den optimalen Ansatz aus? Was wäre, wenn wir das Paradigma grundlegend verändern?

Diese Session stellt einen bahnbrechenden Ansatz vor, der generative KI nutzt, um Azure-Ressourcen über natürliche Sprachinteraktionen zu verwalten.
Tauchen Sie ein in eine inspirierende, demo-lastige Session und erleben Sie live, wie KI den Betrieb radikal vereinfacht, indem man einfach „mit der Azure CLI spricht“. Dadurch entstehen bisher unerreichte Effizienz und Bedienfreundlichkeit.

Über diesen innovativen Management-Ansatz hinaus erhalten Sie wertvolle Einblicke, wie sich generative-KI-Komponenten (Agents, Tools, MCP-Server & Co.) zu realen wirkungsvollen Lösungen zusammenfügen lassen.

Die Session richtet sich gezielt an Strategen und Entscheider ebenso wie an technische Professionals. Sie werden mit konkreten, umsetzbaren Ideen inspiriert, um organisationale Agilität zu steigern, Betriebsaufwand deutlich zu senken und KI-getriebene Innovationen in der Cloud-Infrastruktur nachhaltig voranzutreiben.

Deep Dive Workshop: AI for Enterprise Developers en de

As enterprise demands for AI-driven applications grow, architects and developers are increasingly expected to harness the potential of Large Language Models (LLMs) and Generative AI.
This workshop/master-class equips you with the foundational understanding and practical knowledge needed to design and implement intelligent applications.
We begin by demystifying the core mechanics of GenAI covering tokens, vector similarity, embeddings, and the text generation.
From there, we’ll guide you through a prompt engineering, semantic search, classification, clustering, recommendation, and Retrieval-Augmented Generation (RAG).
You’ll learn how to integrate GenAI into enterprise-grade software systems using plugins, tools, and function calls, including MCP Servers and Clients. Through live demonstrations, we’ll show how developers, especially those working in .NET, can build intelligent, autonomous agents that execute solve complex tasks and orchestrate workflows.
We’ll also introduce Microsoft AI Foundry and Microsoft Open Source Agent Framework used by Microsoft to create agents and copilots.

Target Audience:
Enterprise developers, solution architects, and anyone curious about integrating AI into real-world software.

Prerequisites:
- A curious mind and a laptop.
- Optional: Most demos are in C# using Visual Studio, but feel free to bring your preferred IDE, or at least Notepad.
- Optional: An Azure subscription and GitHub account are recommended for hands-on participation.

Deep Dive Workshop: AI for Enterprise Developers en de

Da die Anforderungen von Unternehmen an KI-getriebene Anwendungen stetig wachsen, wird von Architekt:innen und Entwickler:innen zunehmend erwartet, das Potenzial von Large Language Models (LLMs) und Generativer KI zu nutzen.
Dieser Workshop / diese Masterclass vermittelt die grundlegenden Konzepte und das praxisnahe Wissen, das benötigt wird, um intelligente Anwendungen zu entwerfen und umzusetzen.

Wir beginnen mit der Entmystifizierung der Kernmechanismen von GenAI und behandeln dabei Tokens, Vektorähnlichkeit, Embeddings sowie die Textgenerierung.
Darauf aufbauend führen wir durch Prompt Engineering, semantische Suche, Klassifikation, Clustering, Empfehlungssysteme und Retrieval-Augmented Generation (RAG).

Sie lernen, wie sich GenAI mithilfe von Plugins, Tools und Function Calls – einschließlich MCP-Servern und -Clients – in unternehmensreife Softwaresysteme integrieren lässt. Anhand von Live-Demos zeigen wir, wie Entwickler:innen, insbesondere im .NET-Umfeld, intelligente und autonome Agenten entwickeln können, die komplexe Aufgaben lösen und Workflows orchestrieren.

Außerdem stellen wir Microsoft AI Foundry sowie das Microsoft Open Source Agent Framework vor, das von Microsoft zur Entwicklung von Agenten und Copilots eingesetzt wird.

Zielgruppe:
Enterprise-Entwickler:innen, Solution Architects und alle, die neugierig darauf sind, KI in realen Softwareprojekten einzusetzen.

Was sollten Sie mitbringen:

- Neugier und optional ein Laptop

- Optional: Die meisten Demos erfolgen in C# mit Visual Studio – Sie können jedoch gern Ihre bevorzugte IDE oder zumindest einen Texteditor (z. B. Notepad) verwenden

- Optional:Ein Azure-Abonnement sowie ein GitHub-Account werden für die praktische Mitarbeit empfohlen

Master Class: Design and implementation of Enterprise Applications that leverage GenAI en de

As a professional enterprise architect or developer, you are required to build new applications that leverage large language models and Generative AI.
In this one-day master class, we will demystify how Generative AI works. We will start with the basics and then dive deep into important topics such as token generation, vector similarity, embeddings, different model types, and more. Next, we will explore various levels of application for specific use cases. We will begin with simple application types that use prompt engineering and demonstrate how these can be enhanced with techniques like Retrieval-Augmented Generation (RAG).

Finally, we will showcase how plugins can help integrate Generative AI into any software system and explain techniques to reduce or even prevent hallucinations.

Through numerous demos, we will illustrate how .NET developers and developers from other backgrounds can build AI agents that execute intelligent code in any application.

You will also gain insights into Microsoft Azure AI Foundry and the Open Source Semantic Kernel, both used internally at Microsoft. We will demonstrate how these frameworks can be employed to build applications and powerful backends that integrate AI into any software system, whether running in Azure or on-premises.

Most Demos will be in C#/.NET and Visual Studio. However, you are required to have a good technical knowledge of any programming language and any IDE.

Master Class: Architecting and Development of Custom Copilots en de

Als professioneller Architekt oder Software Entwickler sind Sie gefordert, neue Anwendungen zu entwickeln, die Large Labguage Modelle (LLM) nutzen.
In dieser Master-Class erklären wir zuerst, wie LLMs und GenAI unter der Haube funktionieren. Wir beginnen mit den Grundlagen und tauchen tief ein in die Themen wie Token-Generierung, Vector-Similarity, Embeddings, verschiedene Modelltypen, Plugins, Agents und vieles mehr. Wir werden demonstrieren, wie .NET-Entwickler und Entwickler aus anderen Bereichen AI-Agents erstellen können, die intelligenten Code in jeder Anwendung über zahlreiche Demos ausführen.

Sie lernen auch über Microsofts Semantic Kernel und wie Sie Anwendungen und mächtige Backends erstellen können, die AI in die Azure-Plattform integrieren.

Diese Master-Class ist konzipiert für professionelle Softwarearchitekten und Entwickler.

Science Fiction or reality: The New Software Era of Custom Co-Pilots. en

Ready for the new wave of innovations? Dive into the fascinating new software world powered by Azure OpenAI and Large Language Models.
In this live-coding futuristic session, you will learn from Damir, a Microsoft MVP and Microsoft Regional Director, how to build software created in a siýmbiose between natural and programming languages.

Whether you’re an architect, developer, or just curious about AI, feel invited to see how to code custom copilots that orchestrate complex processes and possibly replace traditional user interfaces.

Technologies in focus: GenAI, Azure Open AI, .NET/C#, Semantic Kernel.