Publisher's Synopsis
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 pretrained 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 three parts with application examples woven throughout:
- Cloud-based development: Learn the basics of serverless computing with machine learning, Functions-as-a-Service (FaaS), and the use of APIs
- Adding intelligence: Create serverless applications using Azure Functions; learn how to use prebuilt machine learning and deep learning models
- Deployment and continuous delivery: Get up to speed with Azure Kubernetes Service, Azure Security Center, and Azure Monitoring
