Building Intelligent Cloud Applications

Serverless computing is radically changing the way we build and deploy applications. With cloud providers running servers and managing machine resources, companies now can focus solely on the application's business logic and functionality. This hands-on book shows experienced programmers how to build and deploy scalable machine learning and deep learning models using serverless architectures with Microsoft Azure.You'll learn step-by-step how to code machine learning into your projects using Python and pre-trained models that include tools such as image recognition, speech recognition, and classification. You'll also examine issues around deployment and continuous delivery including scaling, security, and monitoring.This book is divided into four parts:Cloud-based development: learn the basics of serverless computing with machine learning, functions as a service (FaaS), and the use of APIsAdding intelligence: create serverless applications using Azure Functions; learn how to use pre-built machine-learning and deep-learning modelsDeployment and continuous delivery: get up to speed with Azure Kubernetes Service, as well as Azure Security Center, and Azure MonitoringApplication examples: deliver data at the edge, build conversational interfaces, and use convolutional neural networks for image classification

John Biggs is an entrepreneur, consultant, writer, and maker. He spent fifteen years as an editor for Gizmodo, CrunchGear, and TechCrunch and has a deep background in hardware startups, 3D printing, and blockchain. His work has appeared in Men's Health, Wired, and the New York Times. He runs the Technotopia podcast about a better future. He has written five books including the best book on blogging, Bloggers Boot Camp, and a book about the most expensive timepiece ever made, Marie Antoinette's Watch. He lives in Brooklyn, New York.