Build comprehensive， scalable computer vision solutions to solve complex real-world business problems and learn best practices for scaling， cost reduction， security， and bias mitigation using AWS AI/ML services。 Computer vision （CV） transforms visual data into actionable insights to solve many business challenges。 This book provides prescriptive guidance from learning how to approach CV problems to quickly building and deploying production-ready models。 Complete with step-by-step explanations of essential machine learning concepts and practical code examples。 You will begin by exploring the applications of CV and features of Amazon Rekognition and Amazon Lookout for Vision。 Then， you'll walk through real-world use cases such as identity verification， real-time video analysis， content moderation， and detecting manufacturing defects to understand how to implement AWS AI/ML services。 You'll also use Amazon SageMaker for data annotation， training， and deploying CV models。 As you progress， you'll learn best practices and design principles for scaling， reducing cost， improving the security posture， and mitigating bias of CV workloads。 By the end of this book， you'll be able to accelerate your business outcomes by building and implementing CV into your production environments with AWS AI/ML services。 If you are a machine learning engineer， data scientist， or want to better understand best practices and how to build comprehensive CV solutions on AWS， this book is for you。 Knowledge of AWS basics is required to grasp the concepts covered in this book more effectively。 A solid understanding of machine learning concepts and the Python programming language will also be beneficial。