×

You're seconds away from unlocking all AI/ML resources

First Name
Last Name
Company Name
Country
CDN Province
US State
India State
AU State
Phone Number
Job Role
Job Title
Industry
Postal Code
This information is associated with my:
Compliance Opt-in
Thank you!
Error - something went wrong!

Get started with Amazon SageMaker in minutes

March 22, 2022

Amazon SageMaker is a fully managed service that provides every developer, business analyst, and data scientist with the ability to prepare build, train, and deploy machine learning (ML) models quickly. In this session, we provide an overview for one of the fastest growing services in AWS history. Amazon SageMaker is built on Amazon’s two decades of experience developing real-world ML applications which helps more people innovate with ML. Through a choice of tools like integrated development environments for data scientists and developers, and no-code visual interfaces for business analysts. Learn how to prepare, build, train, tune, deploy, and manage your first machine learning model on AWS.
Speaker: Aashmeet Kalra, Principal Solutions Architect, AWS

Download slides and demo

Previous Video
Running intelligent applications at edge using AWS AIML
Running intelligent applications at edge using AWS AIML

Across a wide range of industries, there are a diverse set of use cases driving requirements for running in...

Next Video
Data preparation Using Amazon SageMaker and AWS Glue DataBrew
Data preparation Using Amazon SageMaker and AWS Glue DataBrew

Machine learning helps us find patterns in data—we then use the patterns to make predictions about new data...