Amazon SageMaker: Preparing, Building, Training, and Deploying Models
Welcome to Amazon SageMaker: Preparing, Building, Training and Deploying Models.
Learning objectives:
Introduce Amazon SageMaker and the various tools and features it provides to help you:
Prepare and label training data,
Build machine learning models,
Train and tune these models, and
Deploy them to production.
Prerequisites:
A basic understanding of AWS and a high-level understanding of data science and machine learning concepts
Intended audience
This lesson is designed for data scientists and developers who want to learn more about Amazon SageMaker and how it can be used throughout all stages of the machine learning workflow.
Recommended resources
If you’re completely new to the world of machine learning, I encourage you to check out our existing lesson, Introduction to Machine Learning Concepts:
[Lesson: Introduction to Machine Learning Concepts