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  • AI-Enabled Apps with .NET MAUI: How to Build Cross-Platform .NET MAUI Apps with the Latest AI Capabilities

    AI-Enabled Apps with .NET MAUI by Merigo, Codrina;

    How to Build Cross-Platform .NET MAUI Apps with the Latest AI Capabilities

      • GET 12% OFF

      • Publisher's listprice EUR 64.19
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        26 622 Ft (25 355 Ft + 5% VAT)
      • Discount 12% (cc. 3 195 Ft off)
      • Discounted price 23 428 Ft (22 312 Ft + 5% VAT)

    23 428 Ft

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    Availability

    Not yet published.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number First Edition
    • Publisher Apress
    • Date of Publication 14 March 2026
    • Number of Volumes 1 pieces, Book

    • ISBN 9798868818165
    • Binding Paperback
    • No. of pages291 pages
    • Size 254x178 mm
    • Language English
    • Illustrations XV, 291 p. 109 illus.
    • 700

    Categories

    Long description:

    Learn to build AI-powered cross-platform applications using .NET MAUI. Designed for developers of all levels, this book offers a structured, project-based approach to integrating artificial intelligence into modern applications that run on Android, iOS, Windows, and macOS from a single codebase.

    As artificial intelligence continues to transform software development, understanding how to effectively integrate AI services into applications has become an essential skill. The growing demand for intelligent, data-driven applications makes this knowledge highly relevant for developers seeking to enhance user experiences, automate processes, and leverage AI capabilities in real-world scenarios. Simultaneously, .NET MAUI is emerging as the leading framework for cross-platform development in the .NET ecosystem, enabling developers to create powerful applications with a native experience across multiple devices. By the end of this book, developers will have gained the technical expertise and practical experience needed to integrate AI into their applications efficiently.

    What You Will Learn

    • Incorporate chatbots, speech recognition, image analysis, sentiment detection, and predictive analytics into your apps.
    • Cover performance optimization, caching strategies, security considerations, and ethical AI implementation.
    • Benefit from real-world code examples and deployment strategies, ensuring that readers can confidently build, scale, and maintain AI-powered applications.
    • Integrate AI with your cross-platforms apps, exploring key services such as Azure AI, Google Gemini, and OpenAI.

    Who This Book is For

    Whether you are an experienced MAUI developer aiming to expand your skill set or someone new to AI-powered development, this book will equip you with the tools and knowledge to build smarter, more efficient applications in today’s rapidly evolving tech landscape.

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    Table of Contents:

    "

    Chapter 1: Introduction to .NET MAUI.- Chapter 2: Introduction to AI.- Chapter 3: Integrating AI Capabilities in .NET MAUI.- Chapter 4: Sentiment Analysis.- Chapter 5: AI-Powered Chatbots.- Chapter 6: AI-Based Image Descriptions (Azure Vision + OpenAI).- Chapter 7: OCR Scanner.- Chapter 8: Voice App with Speech Recognition (Azure AI Speech-to-Text).- Chapter 9: AI-Powered Translation (Azure Translator).- Chapter 10: AI-Powered Content Summarizer (OpenAI GPT).- Chapter 11: Letting Google Gemini Search into Your .NET MAUI App.- Chapter 12: Edge AI & Offline AI Models.- Chapter 13: Ethical Considerations with AI and AI Apps.- Chapter 14: Security Standards and AI.- Chapter 15: Deploying AI-Powered MAUI Apps.- Chapter 16: Conclusion.

    "

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