Local AI Development on Windows and .NET
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Home > Computing and Information Technology Books > Computer programming / software engineering > Microsoft programming > Local AI Development on Windows and .NET: A Practical Guide to Building Private LLM Applications with Visual Studio
Local AI Development on Windows and .NET: A Practical Guide to Building Private LLM Applications with Visual Studio

Local AI Development on Windows and .NET: A Practical Guide to Building Private LLM Applications with Visual Studio


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Local AI Development on Windows and .NET: A Practical Guide to Building Private LLM Applications with Visual Studio
A Practical Guide to Building Private LLM Applications with Visual Studio
Format: Paperback

About the Book

Build private AI applications on Windows-without depending entirely on the cloud.

Local AI Development on Windows and .NET is a practical guide for developers, IT professionals, and technical decision-makers who want to design and build local, private, and grounded AI solutions using Windows, .NET, and Visual Studio.

Instead of focusing only on theory or code-heavy machine learning pipelines, this book shows you how to turn local AI into real software that solves real problems. You will learn how to work with local model runtimes, build reusable AI service layers, process documents, design prompt workflows, create source-grounded Q&A systems, and develop useful tools such as summarizers, drafting assistants, coding assistants, knowledge assistants, and training chatbots.

This book is ideal for readers who want to:

  • understand how local AI works in Windows and .NET environments
  • build private document assistants and internal knowledge tools
  • create grounded AI workflows using retrieval, summarization, and prompt templates
  • design desktop and web-based AI applications with maintainable architecture
  • support education, training, drafting, coding, and productivity use cases
  • deploy AI solutions in environments where privacy, control, and trust matter
What you will learn
  • how to set up and work with local AI runtimes on Windows
  • how to integrate local models into .NET applications
  • how to design reusable AI service layers and workflow patterns
  • how to build document summarization and document Q&A features
  • how to create retrieval-based private knowledge assistants
  • how to design drafting assistants, coding assistants, and offline training chatbots
  • how to optimize performance, handle privacy and security concerns, and deploy AI apps on Windows
  • how to prepare for the future of local AI with Windows, .NET, and Visual Studio
Who this book is for

This book is for .NET developers, IT professionals, educators, architects, and technical leaders who want a practical path to building private AI applications. It is especially useful for readers who care about local deployment, internal document workflows, source-grounded AI, and productivity-focused software design.

If you want to move beyond AI demos and start building useful, trustworthy, and private AI tools on Windows, this book will give you a strong foundation.

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Product Details
  • ISBN-13: 9798255846139
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 279 mm
  • No of Pages: 566
  • Returnable: N
  • Sub Title: A Practical Guide to Building Private LLM Applications with Visual Studio
  • Width: 216 mm
  • ISBN-10: 8255846131
  • Publisher Date: 11 Apr 2026
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 29 mm
  • Weight: 1293 gr

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