Cloud Computing and MLOps: ML Pipelines

ML pipelines help organizations improve the standards of machine learning (ML) models improve their business strategy and reduce redundant work and miscommunication. They consist of a series of ML workflow steps performed in a connected and automated/semi-automated way. Through this course learn the basics of ML pipelines. Discover the uses and benefits of ML pipelines and the characteristics of manual and automated pipelines. Next explore best practices for building pipelines and the three types of environments in the MLOps process. Finally examine the importance of CI/CD in ML the purpose of ML pipeline testing and ML pipeline testing tools and frameworks. Upon completion youll be able to define ML pipelines and their benefits.