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SKU/Artículo: AMZ-B0G5JBJV96
Engineering Intelligent Apps with .NET: A PRACTICAL GUIDE TO INTEGRATING AI, SEMANTIC KERNEL, AND LLMS INTO ENTERPRISE C# APPLICATIONS
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.67 kg
0.67 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Engineering Intelligent Apps with .NET: A Practical Guide to Integrating AI, Semantic Kernel, and LLMs into Enterprise C# Applications Stop building toy chatbots and start engineering enterprise-grade AI systems.This is the definitive field guide for C# developers ready to master Large Language Models, the Semantic Kernel, and Cloud-Native architecture in .NET 9.Book SummaryThe era of the "AI Engineer" has arrived, but most resources are stuck in Python notebooks or simple scripts. Enterprise developers need something different. They need to know how to integrate massive intelligence into complex, existing .NET ecosystems without sacrificing security, maintainability, or performance. This book bridges that gap, moving you past the hype and into the hard engineering required to ship reliable AI products.You will go far beyond simple prompt engineering. Through a hands-on, code-first approach, you will build a complete "Corporate Brain" capable of reading internal documents (RAG), executing business logic via Plugins, and planning complex workflows using Autonomous Agents. You will learn to treat AI not as magic, but as a deterministic software component, wrapping it in the safety of Dependency Injection, Unit Testing, and OpenTelemetry observability.Written for the modern .NET 9 stack, this guide covers the bleeding edge of the ecosystem from running local Small Language Models (SLMs) with Ollama to optimizing startup times with Native AOT. Whether you are modernizing a legacy monolith or building a new microservice, this book provides the architectural blueprints you need to succeed.Why Choose this Book?Production-First Architecture: Learn to build thread-safe, resilient AI services using Dependency Injection, Minimal APIs, and the Options pattern.Master the Semantic Kernel: Deep dive into Microsoft’s open-source SDK to orchestrate plugins, memory, and planners without locking yourself into a single model provider.Beyond "Chat": Move from passive chatbots to active Agents that can query databases, call APIs, and solve multi-step problems autonomously.Enterprise Grade: Tackle the hard problems like Role-Based Access Control (RBAC) for AI tools, PI/II data redaction, and cost monitoring using OpenTelemetry.Bleeding Edge .NET 9: Utilize the latest C# 13 features, including System.Threading.Lock, Native AOT compilation, and local AI inference.Call-to-ActionReady to transform your career from .NET Developer to AI Engineer? Scroll up and grab your copy today to start building the future of intelligent software.
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U$S 49,77
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