 
			The AI Engineering Bible: The Complete and Up-to-Date Guide to Build, Develop and Scale Production Ready AI Systems
Price: $54.40 - $48.02
(as of Oct 19, 2025 04:59:55 UTC – Details)
  A Comprehensive, Practical Guide to Building, Deploying, and Scaling Real-World AI Systems
While AI dominates headlines, most organizations face a different reality: stalled projects, fragile infrastructure, costly deployments, and no clear framework for building scalable, reliable systems.
The AI Engineering Bible addresses this gap directly.
Written for engineers, technical leads, AI architects, and product owners, this book offers a clear, systematic approach to building production-ready AI systems—grounded in current best practices, scalable infrastructure, and real-world application.
Spanning every stage of the AI lifecycle—from problem definition and data acquisition to deployment, optimization, and long-term maintenance—it provides the structure and technical depth professionals need to confidently lead AI initiatives at scale.
With this all-in-one guide in your hands, you will:Start by defining the problem and planning your AI system with precision—from aligning goals with business outcomes to structuring architecture, data strategy, ethics, compliance, and human-AI interaction from day oneBuild each layer of your system with reliability in mind, including data pipelines, preprocessing workflows, training loops, orchestration tools, and model selection—ready for integration into real-world software environmentsDeploy your AI models into production with confidence, using containerized services, scalable cloud infrastructure, secure API integrations, and version-controlled workflows that reduce downtime and riskExpand your system to handle increasing scale, applying proven strategies for distributed inference, federated learning, pipeline throughput, and load balancing—ensuring your architecture grows without bottlenecksOptimize performance across every dimension, from latency and throughput to memory usage and cost-efficiency, using cutting-edge techniques in tuning, compression, quantization, and system profilingEnsure long-term reliability and adaptability through model monitoring, drift detection, retraining strategies, user feedback loops, governance frameworks, and continuous improvement processes that keep systems stable and effective over time
While other books focus narrowly on theory or specific tools, The AI Engineering Bible takes a full-stack engineering perspective—helping you bridge the gap between machine learning research and robust, maintainable production systems.
Whether you’re responsible for building internal AI platforms, deploying customer-facing features, or scaling intelligent systems in high-stakes environments, this book is designed to support your work with clarity and rigor.
If your goal is to deliver AI systems that are not only functional, but sustainable, secure, and scalable—grab your copy of The AI Engineering Bible and use it as your trusted technical reference to build systems that perform in the real world.    
 
                                             From the Publisher   
                                                                            

                                                                            

                                                                            

                                                                            

                                                                            

 ASIN                                                                                        :                                                                                                    B0F672GWRZ       
 Publisher                                                                                        :                                                                                                    Independently published       
 Publication date                                                                                        :                                                                                                    April 23, 2025       
 Language                                                                                        :                                                                                        English   
 Print length                                                                                        :                                                                                                    408 pages       
 ISBN-13                                                                                        :                                                                                                    979-8281166782       
 Item Weight                                                                                        :                                                                                        0.634 ounces   
 Dimensions                                                                                        :                                                                                                    8.5 x 0.92 x 11 inches       
       Best Sellers Rank:  #10,603 in Books (See Top 100 in Books)    #1 in Computer Programming Logic   #2 in Cloud Computing (Books)   #3 in Software Testing      
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