Article on medium.com
The article explains how to build an end-to-end MLOps pipeline using AWS SageMaker, which involves automating the process of developing, deploying, and monitoring machine learning models. It discusses the various components of the pipeline, such as data preprocessing, model training, and deployment, and how to integrate them using SageMaker’s built-in capabilities.