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

By Voon Kiong Liew

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 environmentsbuild private document assistants and internal knowledge toolscreate grounded AI workflows using retrieval, summarization, and prompt templatesdesign desktop and web-based AI applications with maintainable architecturesupport education, training, drafting, coding, and productivity use casesdeploy AI solutions in environments where privacy, control, and trust matterWhat you will learnhow to set up and work with local AI runtimes on Windowshow to integrate local models into .NET applicationshow to design reusable AI service layers and workflow patternshow to build document summarization and document Q&A featureshow to create retrieval-based private knowledge assistantshow to design drafting assistants, coding assistants, and offline training chatbotshow to optimize performance, handle privacy and security concerns, and deploy AI apps on Windowshow to prepare for the future of local AI with Windows, .NET, and Visual StudioWho 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.

• Format: Paperback
• Language: English
• ISBN: B0GWVZK1YD
• ISBN13: 9798255846139
• Release Date: April 2026
• Publisher: Independently published
• Length: 564 Pages
• Weight: 2.86 lbs.
• Dimensions: 11.0" x 1.3" x 8.5"