Tracked shipping to Austria with premium packaging for just 3,99 € 

Ship to
Austria
0
  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

Select your country

Americas

Europe

Rest of the world

portada Engineering ai Systems: Architecture and Devops Essentials
Type
Physical Book
Language
English
Pages
320
Format
Paperback
ISBN13
9780138261412
Edition No.
1

Engineering ai Systems: Architecture and Devops Essentials

Len Bass; Qinghua Lu; Ingo Weber; Liming Zhu (Author) · Addison Wesley Pub Co Inc · Paperback

Engineering ai Systems: Architecture and Devops Essentials - Len Bass; Qinghua Lu; Ingo Weber; Liming Zhu

Cheaper New Book Imported to Austria
Delivery: 02 Jul - 07 Jul Shipping: 5 to 7 business days.
51,16 €
Faster New Book Imported to Austria
Delivery: 30 Jun - 01 Jul Shipping: 3 to 3 business days.
54,80 €
Import costs and 10% VAT included in the price ✅
51,16 €

Synopsis "Engineering ai Systems: Architecture and Devops Essentials"

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.

Customers reviews

Frequently Asked Questions about the Book

All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews