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"With Machine Learning Model Operationalization Management (MLOps), we want to provide an end-to-end machine learning development process to design, build and manage reproducible, testable, and evolvable ML-powered software."

"Being an emerging field, MLOps is rapidly gaining momentum amongst Data Scientists, ML Engineers and AI enthusiasts. Following this trend, the Continuous Delivery Foundation SIG MLOps differentiates the ML models management from traditional software engineering and suggests the following MLOps capabilities:"

"You will learn for what to use Machine Learning, about various scenarios of change that need to be managed and the iterative nature of ML-based software development. Finally, we provide the MLOps definition and show the evolution of MLOps."

"This part is devoted to one of the most important phase in any software project — understanding the business problem and requirements. As these equally apply to ML-based software you need to make sure to have a good understanding before setting out designing things."

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Getting started