In this workshop, we will build an MLOps pipeline that leverages Amazon SageMaker, a service that supports the entire pipeline for ML model development, and is the heart of this solution. Around it, we will add different AWS DevOps tools and services to create an automated CI/CD pipeline for the ML model. This pipeline will prepare the data, build our docker images, train and test the ML model, and then integrate the model into a production workload.