Prompting .NET for AI Application Development(English, Paperback, Pimienta Ramos Raul Daniel) Offer
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- Language: English
- Binding: Paperback
- Publisher: Orange Education Pvt Ltd
- ISBN: 9788169645027
- Edition: 1, 2026
- Pages: 280
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Prompting .NET for AI Application Development Specifications
Product Features:
Prompting .NET for AI Application Development Features & Specifications stand apart in the UYQ : Artificial intelligence category. The details about Prompting .NET for AI Application Development(English, Paperback, Pimienta Ramos Raul Daniel) are given below as well. Unboxing Prompting .NET for AI Application Development specs Language: English, Binding: Paperback, Publisher: Orange Education Pvt Ltd, ISBN: 9788169645027, Edition: 1, 2026, Pages: 280, & more details are given below
The Future of .NET Development Is Not AI Integration. It is AI Engineering.Most .NET developers can call an AI, API. Very few can build AI features that hold up in production. Prompting .NET for AI Application Development treats prompting as engineering — something that belongs inside service boundaries, typed contracts, secure configuration, and observable workflows, not inside a demo that ships once, and breaks quietly.Starting from prompt design and environment setup, the book builds progressively through .NET architecture patterns, Semantic Kernel orchestration, structured outputs, and integration across ASP.NET Core, Blazor, and .NET MAUI. RAG pipelines, output validation, guardrails, cost controls, and deployment follow — each grounded in practical .NET code and real implementation decisions.Two complete production scenarios bring it together: An AI-powered e-commerce platform and an intelligent enterprise dashboard. By the end of the book, you will build, harden, and operate .NET AI features that remain reliable when providers fail, inputs change, and applications scale.
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Prompting .NET for AI Application Development Specs
Dimensions
| Width | 15 mm |
| Height | 235 mm |
| Length | 191 mm |
| Weight | 485 gr |
Book Details
| Title | Prompting .NET for AI Application Development |
| Imprint | Orange Education Pvt Ltd |
| Publication Year | 2026 Sep |
| Book Type | Non Fiction |
| Table of Contents | 1. Prompt-Driven Application Development in .NET 2. Setting up a Production-Ready AI Development Environment in .NET 3. Designing Effective Prompts for Real .NET Workflows 4. .NET Architecture Patterns for AI-Powered Applications 5. Working with Semantic Kernel in Production-Oriented .NET Solutions 6. Building the First End-to-End AI-Powered .NET Application 7. Retrieval-Augmented Generation in Production .NET Applications 8. Prompt Optimization, Reliability, and Control in .NET 9. Building, Deploying, and Scaling an AI-Powered E-Commerce Platform with .NET 10. Building an Intelligent Enterprise Dashboard in .NET Index |
| Product Form | Paperback |
| Publisher | Orange Education Pvt Ltd |
| ISBN13 | 9788169645027 |
| Book Category | Higher Education and Professional Books |
| BISAC Subject Heading | COM100000 |
| Book Subcategory | Computing and Information Technology Books |
| Edition | 1 |
| Language | English |
| Has E-book Sample | Yes |
| Print Size | 7.5*9.25 Inches |
Contributors
| Author Info | Raúl Daniel Pimienta Ramos is a software developer and international author with more than nine years of experience building mobile, web, and backend solutions within the Microsoft ecosystem. He specializes in cross-platform application development using .NET MAUI and Xamarin.Forms, as well as ASP.NET Core, Blazor, C#, SQL Server, and Microsoft Azure. Pedro Luis López Gaitán is a software developer specializing in .NET technologies, web development, and mobile applications. He has in-depth experience with C#, .NET MAUI, React, Angular, Python, and PHP, as well as cloud solutions. He is the co-author of Ultimate .NET MAUI Projects and is passionate about creating innovative solutions. |
Books Info
| Language | English |
| Binding | Paperback |
| Pages | 280 |
| Publisher | Orange Education Pvt Ltd |
| Year | 2026 |
| Author | Pimienta Ramos Raul Daniel |
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