Production, Deployment and Sustainment of Machine Learning Solutions

Machine Learning Operations (MLOps) is a set of practices that aims to deploy and maintain Machine Learning (ML) models in data analytics system design and deployment. It is about orchestrating the steps in the ML pipeline, then automating the execution of the pipeline for continuous training (CT) of the models so as to iteratively and continuously cater to changing business needs. This course covers the construction, deployment, maintenance, and continuous delivery of new model pipelines. It provides practical hands-on interactions to understand the actual deployment considerations.