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Building, Training, Deploying and Monitoring Models with Amazon SageMaker

This course will walk you through training, evaluating, fine-tuning, and deploying machine learning models on Amazon SageMaker.
Difficulty: Intermediate
Duration: Up to 10 hours and 25 minutes
Students: 32
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Content overview

15 steps
There are 11 Courses in this learning path
There are 4 Hands-on Labs in this learning path
Difficulty: Beginner. Duration: 35m 27s.
COURSE
Beginner
Duration: 35 minutes and 27 seconds
Amazon SageMaker: Preparing, Building, Training, and Deploying Models
Explore Amazon SageMaker and how it can be used to prepare, build, train, and deploy machine learning models in the AWS Cloud.
Difficulty: Intermediate. Duration: Up to 1h.
HANDS-ON LAB
Intermediate
Duration: Up to 1 hour
Using SageMaker Notebooks to Train and Deploy Machine Learning Models
In this lab, you'll use a SageMaker notebook to learn how to write Python code to prepare data, train and deploy models, and use them for real-time inference.
Difficulty: Beginner. Duration: 24m 50s.
COURSE
Beginner
Duration: 24 minutes and 50 seconds
Understanding Amazon SageMaker Machine Learning Environments
This lesson will cover the different machine learning environments available in Amazon SageMaker.
Difficulty: Intermediate. Duration: 36m 1s.
COURSE
Intermediate
Duration: 36 minutes and 1 second
Amazon SageMaker: Machine Learning Workflows
In this lesson, you’re going to learn about Machine Learning Operations with Amazon SageMaker's fully managed workflow service.
Difficulty: Beginner. Duration: 21m 6s.
COURSE
Beginner
Duration: 21 minutes and 6 seconds
Amazon SageMaker Canvas: No-code Machine Learning for Business Analysts
In this lesson, we will describe how to get started with no-code machine learning on AWS for business analysts.
Difficulty: Intermediate. Duration: 18m 9s.
COURSE
Intermediate
Duration: 18 minutes and 9 seconds
Customizing and Tuning Foundation Models Using Amazon SageMaker Jumpstart
This lesson is going to explain how you can use, customize, and evaluate Foundation Models on Amazon SageMaker using Amazon SageMaker JumpStart.
Difficulty: Intermediate. Duration: 51m 38s.
COURSE
Intermediate
Duration: 51 minutes and 38 seconds
Training and Fine-Tuning Machine Learning and Foundation Models With Amazon SageMaker
In this lesson, you will learn about the training stage of the machine learning lifecycle using Amazon SageMaker.
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