{"product_id":"ai-engineering-design-pattern-9798195518271","title":"AI Engineering Design Pattern","description":"\u003cp\u003e • Author(s): Ajit Singh\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Computer Science\u003c\/p\u003e\u003cp\u003e\"\u003cb\u003eAI Engineering Design Pattern\u003c\/b\u003e\" is a definitive, implementation-oriented guide for building production-grade Artificial Intelligence systems. It systematically demystifies the process of taking a machine learning model from a conceptual stage to a fully deployed, operational, and maintainable application. This book is engineered to serve as a core textbook for university courses and as an indispensable reference for industry practitioners. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cb\u003ePhilosophy\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eThe central philosophy of this book is \"Systems First, Models Second.\" While the machine learning model is the \"brain\" of an AI application, it is the surrounding engineering system-the \"body\"-that allows it to function effectively in the real world. A high-accuracy model is useless if it cannot access data, serve predictions reliably at scale, or adapt to changing conditions. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eKey Features\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e1. Strictly Implementation-Focused: Over 70% of the content is dedicated to practical, hands-on implementation, code walkthroughs, and end-to-end examples. \u003cp\u003e\u003c\/p\u003e2. Industry-Standard Technology Stack: Examples utilize Python, TensorFlow\/PyTorch, Scikit-learn, Docker, Kubernetes, Flask\/FastAPI, and other technologies prevalent in the industry. \u003cp\u003e\u003c\/p\u003e3. End-to-End System Perspective: The book covers the entire AI application lifecycle, from data acquisition and preparation patterns to MLOps and responsible AI patterns. \u003cp\u003e\u003c\/p\u003e4. Simplified Algorithms: Complex theoretical concepts are abstracted away. The focus is on the engineering application, with algorithms presented as simple, numbered steps. \u003cp\u003e\u003c\/p\u003e5. Capstone Project: The final chapter integrates multiple patterns into a single, comprehensive DIY project building a live, deployable AI application from scratch with full code provided. \u003cp\u003e\u003c\/p\u003e6. University Syllabus Compatibility: The content is carefully curated to align with advanced undergraduate and graduate courses in AI\/ML, Software Engineering, and MLOps at major universities globally. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eKey Takeaways\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eUpon completing this book, you will be able to: \u003cp\u003e\u003c\/p\u003e1. Design and Architect robust, scalable, and maintainable end-to-end AI systems. \u003cp\u003e\u003c\/p\u003e2. Identify and Apply the correct design pattern for common challenges in data management, model training, deployment, and operations. \u003cp\u003e\u003c\/p\u003e3. Implement MLOps pipelines for continuous integration, continuous delivery, and continuous training (CI\/CD\/CT) of machine learning models. \u003cp\u003e\u003c\/p\u003e4. Build and Deploy AI applications as containerized microservices using tools like Docker and Flask. \u003cp\u003e\u003c\/p\u003e5. Incorporate principles of Responsible AI, including monitoring, explainability, and security, into your projects. \u003cp\u003e\u003c\/p\u003e6. Confidently Transition from building standalone ML models to engineering complete, industry-grade AI solutions. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eDisclaimer\u003c\/b\u003e: Earnest request from the Author. \u003cp\u003e\u003c\/p\u003eKindly go through the table of contents and refer kindle edition for a glance on the related contents. \u003cp\u003e\u003c\/p\u003eThank you for your kind consideration!","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47882806526103,"sku":"9798195518271","price":3523.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798195518271.webp?v=1781097189","url":"https:\/\/atlanticbooks.com\/products\/ai-engineering-design-pattern-9798195518271","provider":"Atlantic Books","version":"1.0","type":"link"}