This course takes an introductory look at using the SageMaker platform, specifically within the context of preparing data, building and deploying machine learning models.
During this course, you'll gain a practical understanding of the steps required to build and deploy these models along with learning how SageMaker can simplify this process by handling a lot of the heavy lifting both on the model management side, data manipulation side, and other general quality of life tools.
Learning Objectives
Obtain a foundational understanding of SageMaker
Prepare data for use in a machine learning project
Build, train, and deploy a machine learning model using SageMaker
Intended Audience
This course is ideal for data scientists, data engineers, or anyone who wants to get started with Amazon SageMaker.
Prerequisites
To get the most out of this course, you should have some experience with data engineering and machine learning concepts, as well as familiarity with the AWS platform.