Gespeichert in:
| Beteiligte Personen: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Hoboken, New Jersey
Addison-Wesley
[2025]
|
| Ausgabe: | [First edition]. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9780138261542/?ar |
| Zusammenfassung: | 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. |
| Beschreibung: | Includes bibliographical references and index |
| Umfang: | 1 online resource (320 pages) illustrations |
| ISBN: | 9780138261498 0138261490 |
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| language | English |
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| spelling | Bass, Len VerfasserIn aut Engineering AI systems architecture and DevOps essentials Len Bass, Qinghua Lu, Ingo Weber, Liming Zhu [First edition]. Hoboken, New Jersey Addison-Wesley [2025] 1 online resource (320 pages) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index 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. Artificial intelligence Software engineering Intelligence artificielle Génie logiciel artificial intelligence Lu, Qinghua VerfasserIn aut Weber, Ingo VerfasserIn aut Zhu, Liming 1975- VerfasserIn aut |
| spellingShingle | Bass, Len Lu, Qinghua Weber, Ingo Zhu, Liming 1975- Engineering AI systems architecture and DevOps essentials Artificial intelligence Software engineering Intelligence artificielle Génie logiciel artificial intelligence |
| title | Engineering AI systems architecture and DevOps essentials |
| title_auth | Engineering AI systems architecture and DevOps essentials |
| title_exact_search | Engineering AI systems architecture and DevOps essentials |
| title_full | Engineering AI systems architecture and DevOps essentials Len Bass, Qinghua Lu, Ingo Weber, Liming Zhu |
| title_fullStr | Engineering AI systems architecture and DevOps essentials Len Bass, Qinghua Lu, Ingo Weber, Liming Zhu |
| title_full_unstemmed | Engineering AI systems architecture and DevOps essentials Len Bass, Qinghua Lu, Ingo Weber, Liming Zhu |
| title_short | Engineering AI systems |
| title_sort | engineering ai systems architecture and devops essentials |
| title_sub | architecture and DevOps essentials |
| topic | Artificial intelligence Software engineering Intelligence artificielle Génie logiciel artificial intelligence |
| topic_facet | Artificial intelligence Software engineering Intelligence artificielle Génie logiciel artificial intelligence |
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