Detailed Overview:

AI Engineering, 1st Edition by Chip Huyen is a practical and forward-thinking guide designed to help engineers, developers, and technical teams build reliable, scalable, and production-ready artificial intelligence systems. Written by one of the leading voices in modern AI infrastructure and machine learning systems, this book bridges the gap between theoretical machine learning knowledge and real-world AI deployment.

The book focuses on the engineering challenges involved in developing AI-powered applications, including data pipelines, model training, evaluation, deployment, monitoring, optimization, and system scalability. Chip Huyen explains complex AI engineering concepts in a clear and accessible manner, helping readers understand how to design robust machine learning workflows for modern production environments.

Covering topics such as foundation models, MLOps, inference optimization, vector databases, retrieval-augmented generation (RAG), AI infrastructure, and responsible AI practices, the book reflects the latest advancements in applied artificial intelligence. Real-world examples, engineering insights, and practical implementation strategies make this resource valuable for both beginners and experienced practitioners.

Ideal for software engineers, machine learning engineers, data scientists, AI researchers, and technology professionals, AI Engineering serves as an essential reference for anyone building and deploying AI systems in today’s rapidly evolving technology landscape.

Product Details:The Essential Guide to Modern AI Engineering

Title: AI Engineering: 1st Edition
Author: Chip Huyen
ISBN-13: 978-1098166304
ISBN-10: 1098166302
Publisher: O’Reilly Media
Binding: Paperback
No of Pages: 386
Language: English
Publisher Date: October 8, 2024