Section 2: Deploying Machine Learning Models at Scale

This section will explain the options, methods, and landscape of machine learning model deployment. We will deep dive into some of the fundamental aspects of production deployments enabled by continuous integration, delivery, and deployment methods. You will also get insights into designing and developing robust and scalable microservices and APIs to serve your machine learning solutions.  

This section comprises the following chapters:

• Chapter 6, Key Principles for Deploying Your ML System
• Chapter 7, Building Robust CI and CD Pipelines
• Chapter 8, APIs and Microservice Management
• Chapter 9, Testing and Securing Your ML Solution
• Chapter 10, Essentials of Production Release