MLOps on Google Cloud: From Theory to Practice

Implementing MLOps practices helps data scientists collaborate across teams to prepare, build, train, deploy, and manage models at scale. In this webinar, learn best practices to automate ML workflows for continuous training, monitoring, validation and serving. We demonstrate how to set-up an automated ML pipeline, implement a CI/CD pipeline, and standardize model governance capabilities. Finally, you hear from Generali on how they implemented an MLOps workflow to improve their insurance claim verification process.