{"product_id":"engineering-ai-systems-architecture-and-devops-essentials-9780138261412","title":"Engineering AI Systems: Architecture and Devops Essentials","description":"\u003cp\u003e\u003cstrong\u003eMaster the Engineering of AI Systems: The Essential Guide for Architects and Developers\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eIn today's rapidly evolving world, integrating artificial intelligence (AI) into your systems is no longer optional. \u003cem\u003e\u003cstrong\u003eEngineering AI Systems: Architecture and DevOps Essentials\u003c\/strong\u003e\u003c\/em\u003e 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.\u003c\/p\u003e \u003cp\u003eExperts 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.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eLifecycle management of AI models, from data preparation to deployment \u003c\/li\u003e \u003cli\u003eBest practices in system architecture and DevOps for AI systems\u003c\/li\u003e \u003cli\u003eSystem reliability, performance, and security in AI implementations\u003c\/li\u003e \u003cli\u003ePrivacy and fairness in AI systems to build trust and achieve compliance\u003c\/li\u003e \u003cli\u003eEffective monitoring and observability for AI systems to maintain operational excellence\u003c\/li\u003e \u003cli\u003eFuture trends in AI engineering to stay ahead of the curve\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eEquip 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.\u003c\/p\u003e \u003cp\u003e\u003cem\u003eRegister your book for convenient access to downloads, updates, and\/or corrections as they become available. See inside book for details.\u003c\/em\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eDr. Len Bass\u003c\/strong\u003e is a seasoned researcher with over 30 years in software architecture and more than a decade in DevOps. He has been teaching DevOps to graduate students for seven years and is the author of a bestselling book on software architecture, along with three books on DevOps. \u003cstrong\u003eDr. Qinghua Lu\u003c\/strong\u003e is a principal research scientist at CSIRO's Data61, leading the Software Engineering for AI and Responsible AI science teams. She is a coauthor of \u003cem\u003eResponsible AI: Best Practices for Creating Trustworthy AI Systems\u003c\/em\u003e (Addison-Wesley, 2024). \u003cstrong\u003eProf. Dr. Ingo Weber\u003c\/strong\u003e is a professor at the Technical University of Munich and Director of Digital Transformation and ICT Infrastructure at Fraunhofer-Gesellschaft. He has written numerous publications and textbooks, including \u003cem\u003eDevOps: A Software Architect's Perspective and Architecture for Blockchain Applications\u003c\/em\u003e. \u003cstrong\u003eDr. Liming Zhu\u003c\/strong\u003e is a research director at CSIRO's Data61 and is a conjoint professor at University of New South Wales. He contributes to various AI safety and standards committees and has written over 300 papers. He is coauthor of \u003cem\u003eResponsible AI: Best Practices for Creating Trustworthy AI Systems\u003c\/em\u003e.\u003c\/p\u003e\u003cbr\u003e","brand":"Addison-Wesley Professional","offers":[{"title":"Default Title","offer_id":51182937964818,"sku":"9780138261412","price":45.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_0ad5c3ac-55b3-46d2-9381-c5c645162b31.jpg?v=1744450039","url":"https:\/\/surprise-castle.myshopify.com\/products\/engineering-ai-systems-architecture-and-devops-essentials-9780138261412","provider":"Surprise Castle","version":"1.0","type":"link"}