Amazon SageMaker Getting Started

In this course, you will learn the benefits and technical concepts of Amazon SageMaker AI. If you are new to the service, you will learn how to start using Amazon SageMaker AI through a demonstration using the AWS Management Console. You will use a Jupyter notebook instance to train and generate prediction using a machine learning model. Activities •Presentations •Videos •Knowledge checks Course objectives •Identify the purpose of Amazon SageMaker AI. •Recognize problems solved by SageMaker AI. •Understand the benefits of SageMaker AI. •Recognize key characteristics about SageMaker AI pricing. •Explore how to use SageMaker AI. Intended audience •Architects •Machine Learning Engineers •Data scientists Recommended Skills •Basic Python proficiency • [AWS Technical Essentials] (https://explore.skillbuilder.aws/learn/courses/1851/aws-technical-essentials) Course outline Module 1: Introduction •Introduction to Amazon SageMaker AI •Architecture and Use Cases Module 2: Using Amazon SageMaker AI •Create a SageMaker AI Notebook Instance •Open a Notebook in SageMaker AI and Run a Sample Code Module 3: Resources •Learn More •Contact Us