Amazon SageMaker Studio for Data Scientists
This 3-day course gets us deeper into the various products and services that are available for architecting ML solutions on AWS
Suggested prerequisites: Completion of Architecting on AWS and at least one year of experience designing workloads on AWS.
Amazon SageMaker Studio is a powerful tool that helps data scientists quickly prepare, build, train, deploy, and monitor machine learning (ML) models.
This advanced 3-day course is designed for experienced data scientists who are already familiar with ML and deep learning. Participants will learn how to use various tools within SageMaker Studio, such as Amazon CodeGuru Security scan extensions, to enhance productivity throughout the ML lifecycle.
The course includes a mix of presentations, hands-on labs, demonstrations, discussions, and a capstone project. Throughout the training, attendees will focus on several key areas.