Amazon SageMaker

Build, train, and deploy machine learning models for any use case with fully managed infrastructure, tools, and workflows

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What is Amazon SageMaker?

✔ To make it easier to get started, Amazon SageMaker JumpStart provides a set of solutions for the most common use cases that can be deployed readily with just a few clicks.

 Prepare, build, train, and deploy high-quality machine learning models quickly by bringing together a broad set of capabilities purpose-built for machine learning.

✔ Amazon SageMaker is available for free, for 2 months, as part of the AWS Free Tier program. Users can get access to 250 hours per month of ml.t3.medium notebooks usage with the Free Tier.

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Introduction to Amazon SageMaker (1:12)

Getting Started with Amazon SageMaker

Amazon SageMaker JumpStart helps you quickly and easily get started with machine learning. The solutions are fully customizable and supports one-click deployment and fine-tuning of more than 150 popular open source models such as natural language processing, object detection, and image classification models. Popular solutions include:

Extract & Analyze Data

Automatically extract, process, and analyze documents for more accurate investigation and faster decision making.

Fraud Detection

Automate detection of suspicious transactions faster and alert your customers to reduce potential financial loss.

Churn Prediction

Predict likelihood of customer churn and improve retention by honing in on likely abandoners and taking remedial actions such as promotional offers.

Personalized Recommendations

Deliver customized, unique experiences to customers to improve customer satisfaction and grow your business rapidly.

SageMaker on the Free Tier

As part of the AWS Free Tier, you can get started with Amazon SageMaker for free. Your two month free trial starts from the first month when you create your first SageMaker resource. The details of the free tier for Amazon SageMaker are in the table below:

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Amazon SageMaker capability

Free Tier usage per month for the first 2 months

Product Pricing

Studio notebooks, and on-demand notebook instances

250 hours of ml.t3.medium instance on Studio notebooks OR 250 hours of ml.t2 medium instance or ml.t3.medium instance on on-demand notebook instances

Amazon SageMaker Pricing

RStudio on SageMaker  250 hours of ml.t3.medium instance on RSession app AND free ml.t3.medium instance for RStudioServerPro app
Data Wrangler  25 hours of ml.m5.4xlarge instance 
Feature Store  10 million write units, 10 million read units, 25 GB storage 
Training   50 hours of m4.xlarge or m5.xlarge instances 
Real-Time Inference  125 hours of m4.xlarge or m5.xlarge instances 
Serverless Inference   150,000 seconds of inference duration 
Canvas  750 hours/month for session time, and up to 10 model creation requests/month, each with up to 1 million cells/model creation request 

Learn More About Amazon SageMaker

Introduction to Amazon SageMaker Studio (1:38)
Introduction to Amazon SageMaker (4:46)

AWS Free Tier

The AWS Free Tier offers users an opportunity to explore products for free, with offers including products that are always free, free for 12 months, and short-term free trials.

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Get Started

Creating an AWS account is free and gives you immediate access to the AWS Free Tier.

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