Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Learning Amazon SageMaker

via LinkedIn Learning

Write review

Coursera

Learn AI, Data Science & Business — Earn Certificates That Get You Hired

Scrimba

Get 20% off all career paths from fullstack to AI

Overview

Google, IBM & Meta Certificates – 40% Off

One plan covers every Professional Certificate on Coursera.

Unlock All Certificates

Learn how to use Amazon SageMaker to analyze data sets and train and deploy predictive machine learning models.

Syllabus

Introduction

Machine learning with Amazon SageMaker
What you should know

1. Introduction to SageMaker

What is Amazon SageMaker?
How does Amazon SageMaker work?
Benefits of Amazon SageMaker
Interacting with Amazon SageMaker

2. Analyze Data

Data analysis tools
Download and import data
Investigate data
Data visualization: Categories
Data visualization: Numerical
Data summary tools
Challenge: Describe a dataset
Solution: Describe a dataset

3. Build Models

Cleaning up the data
Preparing the model training set
Model training
Checking model training results
Challenge: Train a basic model
Solution: Train a basic model

4. Deploy Models

Deploy trained model
Test deployed model for single record
Test deployed model for multiple records
Challenge: Transfer model to server
Solution: Transfer model to server
Review the model for accuracy

Conclusion

Next steps

Taught by

Martin Kemka

Reviews

4.6 rating at LinkedIn Learning based on 424 ratings

Start your review of Learning Amazon SageMaker