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.

Workshop: Deep dive into Azure OpenAI and Semantic Kernel en de

Artificial Intelligence has a tremendous impact on technology and society. Microsoft Azure and .NET have already established themselves as leading cloud, AI, and IoT platforms in this field. With the help of the "Semantic Kernel," professional developers can now harness the incredible capabilities of large language models. This demo-based session will explain how .NET and other developers can use Microsoft Semantic Kernel to leverage Azure OpenAI models for implementing novel intelligent applications. Utilizing this remarkable technology, we will illustrate how custom copilots and task orchestration can be implemented.
You will learn how to create plugins that extend the cognitive capabilities of a Generative AI by incorporating custom code.

This session is designed for software architects, developers, and any other software engineers interested in implementing applications with Generative AI.

Masterclass: Deep dive in Azure OpenAI und Semantic Kernel (halbtags workshop) en de

Künstliche Intelligenz hat einen enormen Einfluss auf Technologie und Gesellschaft. Microsoft Azure und .NET haben sich bereits als führende Plattformen für Cloud, KI und das Internet der Dinge in diesem Bereich etabliert. Mit Hilfe des "Semantic Kernel" können professionelle Entwickler nun die unglaublichen Fähigkeiten großer Sprachmodelle nutzen. Diese demo-powered Session zeigt, wie .NET und andere Entwickler den Microsoft Semantic Kernel verwenden können, um Azure OpenAI-Modelle für die Umsetzung neuartiger intelligenter Anwendungen zu nutzen. Unter Verwendung dieser bemerkenswerten Technologie werden wir zeigen, wie benutzerdefinierte Co-Pilots und Aufgabenorchestrierung implementiert werden können.
Sie werden lernen, wie Sie Plugins erstellen, die die kognitiven Fähigkeiten eines generativen KI-Modells durch die Integration von custom-code Code erweitern.

Diese Session richtet sich an Softwarearchitekten, Entwickler und alle anderen Softwareingenieure, die Interesse daran haben, Anwendungen mit Generativer KI umzusetzen.

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.

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.