Name: Engineering ai Systems: Architecture and Devops Essentials (en Inglés)
Price: 238139.00 COP
Availability: InStock
Author: Len Bass; Qinghua Lu; Ingo Weber; Liming Zhu
ISBN: 9780138261412

portada Engineering ai Systems: Architecture and Devops Essentials (en Inglés)

Engineering ai Systems: Architecture and Devops Essentials (en Inglés)

Formato

Libro Físico

Editorial

Addison Wesley Pub Co Inc

Autor

Len Bass; Qinghua Lu; Ingo Weber; Liming Zhu

Idioma

Inglés

N° páginas

320

Encuadernación

Tapa Blanda

ISBN13

9780138261412

N° edición

Engineering ai Systems: Architecture and Devops Essentials (en Inglés)

Len Bass; Qinghua Lu; Ingo Weber; Liming Zhu (Autor) · Addison Wesley Pub Co Inc · Tapa Blanda

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Reseña del libro "Engineering ai Systems: Architecture and Devops Essentials (en Inglés)"

Master the Engineering of AI Systems: The Essential Guide for Architects and Developers In today's rapidly evolving world, integrating artificial intelligence (AI) into your systems is no longer optional. Engineering AI Systems: Architecture and DevOps Essentials is a comprehensive guide to mastering the complexities of AI systems engineering. This book combines robust software architecture with cutting-edge DevOps practices to deliver high-quality, reliable, and scalable AI solutions. Experts Len Bass, Qinghua Lu, Ingo Weber, and Liming Zhu demystify the complexities of engineering AI systems, providing practical strategies and tools for seamlessly incorporating AI in your systems. You will gain a comprehensive understanding of the fundamentals of AI and software engineering and how to combine them to create powerful AI systems. Through real-world case studies, the authors illustrate practical applications and successful implementations of AI in small- to medium-sized enterprises across various industries, and offer actionable strategies for designing, building, and operating AI systems that deliver real business value. Lifecycle management of AI models, from data preparation to deployment Best practices in system architecture and DevOps for AI systems System reliability, performance, and security in AI implementations Privacy and fairness in AI systems to build trust and achieve compliance Effective monitoring and observability for AI systems to maintain operational excellence Future trends in AI engineering to stay ahead of the curve Equip yourself with the tools and understanding to lead your organization's AI initiatives. Whether you are a technical lead, software engineer, or business strategist, this book provides the essential insights you need to successfully engineer AI systems. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.