Engineering AI systems : architecture and DevOps essentials / Len Bass, Qinghua Lu, Ingo Weber, Liming Zhu.

Format:

Book

Author/Creator:

Bass, Len, author.

Lü, Qinghua, author.

Weber, Ingo, author.

Zhu, Liming, 1975- author.

Language:

English

Subjects (All):

Artificial intelligence.

Software engineering.

Physical Description:

1 online resource (320 pages) : illustrations

Edition:

[First edition].

Place of Publication:

Hoboken, New Jersey : Addison-Wesley, [2025]

Summary:

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. 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.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

9780138261542

0138261547

OCLC:

1498526535