Operações de Aprendizagem Automática

Objectives

Being MLOps a practice that focuses on deploying, testing, monitoring, automating ML models in large-scale production environments, and recognizing its importance on the quality standards and simplification of data management process, the students will learn the best practices of its implementation. As an answer to the problem of scaling ML operations to the needs of the business and/or users of ML models in a standard way, the students will understand how, after the implementation of the MLOps, It?s easier to align models with business needs, as well as regulatory requirements.

Participation Requirements

TBD