Amazon SageMaker Studio for Data Scientists

​This course provides data scientists with a comprehensive introduction to Amazon SageMaker Studio, the integrated development environment (IDE) for machine learning. Participants will learn how to build, train, and deploy machine learning models at scale using SageMaker’s intuitive tools and features. The course covers topics such as data preparation, model development, experimentation, and collaboration within SageMaker Studio, equipping data scientists with the skills needed to streamline their machine learning workflows.

In this course, you will learn to

​· Accelerate the preparation, building, training, deployment, and monitoring of ML solutions by using Amazon SageMaker Studio

​· Use the tools that are part of SageMaker Studio to improve productivity at every step of the ML lifecycle