In this session, we'll guide you through the process of developing AI applications using .NET, Aspire, and Azure. Through live demonstrations, we’ll start by constructing a prototype AI application, showcasing how the same codebase and concepts can be adapted across different platforms. We’ll then explore how to scale this prototype into a robust enterprise AI solution using .NET Aspire, and demonstrate how .NET Aspire can be used to monitor your AI applications effectively. Lastly, we’ll walk you through the deployment process, highlighting how you can achieve comprehensive observability and production capabilities in the cloud. Join us for this hands-on session and learn how to transform your ideas into intelligent solutions.

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#dotnet

dotnet offers insights into .NET development, C# programming language, and cross-platform application development, providing documentation, tutorials, and best practices for building modern and scalable applications with .NET framework. By exploring dotnet's curated content, developers can learn about .NET Core, ASP.NET, and Entity Framework for developing web APIs, microservices, and desktop applications. Whether you're targeting Windows, Linux, or macOS platforms, dotnet offers resources to accelerate your .NET development workflow and deliver robust and performant applications.

.NET Blog

Jeremy and Lise from the intelligent apps team for .NET discuss building AI applications from scratch for .NET developers. They cover various aspects such as integrating AI-enhanced samples, Microsoft extensions, and community collaboration for a vibrant ecosystem. The discussion includes practical scenarios using AI for summarization, semantic search, classification, localization, and sentiment analysis. The post also touches upon advanced topics like retrieval augmented generation (RAG) for contextual data enhancement and responsible AI practices. Furthermore, it highlights the importance of evaluations in ensuring reliable AI outputs and demonstrates how to use built-in evaluators for AI applications.

Building AI Applications from Scratch: A Hands-On Guide for .NET Developers