Inhalt des Trainings
Amazon SageMaker Studio helps data scientists prepare, build, train, deploy, and monitor high-quality machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML. This course prepares experienced data scientists to leverage the tools that are part of SageMaker Studio to improve productivity at every step of the ML lifecycle.
In this course, you will learn to:
Accelerate the preparation, building, training, deployment, and monitoring of machine learning solutions by using Amazon SageMaker Studio.
This class is intended for experienced data scientists who are proficient in ML and deep learning fundamentals. Relevant experience includes using ML frameworks, Python programming, and the process of building, training, tuning, and deploying models.
We recommend that all students complete the following AWS course prior to attending this course:
• AWS Tech Essentials
We recommend students who are not experienced data scientists complete the following two courses in addition to the above course prior to attending this course:
• The Machine Learning Pipeline on AWS
• Deep Learning on AWS