<ul><li>Building and deploying serverless machine learning models offers a fully managed environment, reducing operational costs and increasing application availability.</li><li>The combination of serverless framework and machine learning provides a powerful solution for implementing AI-powered applications with minimal overhead.</li><li>The tutorial provides a step-by-step guide on building and deploying serverless machine learning with AWS Lambda and Serverless Framework.</li><li>To monitor usage and secure access to deployed ML models and their APIs, steps like logging and monitoring, authentication and authorization, data encryption, network security, access control, regular security updates, and vulnerability scans should be followed.</li></ul>

Building and Deploying Serverless Machine Learning: A Guide

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