Broadcast Date: July 29, 2022

Level: 200

Amazon SageMaker Studio Lab is a free ML development environment that provides the compute, storage (up to 15GB), and security—all at no cost—for anyone to learn and experiment with ML. Join us for a hands-on demo where you start with an email address and end with an ML model in cloud. If you don't have an account yet, make sure to register at for free so you can follow along.

Learning Objectives

  • Learn and experiment with ML using a no-setup, free development environment
  • Find out how you can setup an account and choose compute power
  • Discover pre-packaged ML frameworks

Who Should Attend?

Students, ML Learners, ML beginners


  • Michele Monclova, Principle Product Manager , AWS AI Platforms
  • Mia Chang ML Specialist SA, AWS WWSO AI/ML

Learn More

To learn more about the services featured in this talk, please visit:

Intro body copy here about 2018 re:Invent launches.

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Service How To

December 19th, 2018 | 1:00 PM PT

Developing Deep Learning Models for Computer Vision with
Amazon EC2 P3 Instances.

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What's New / Cloud Innovation

December 11th, 2018 | 1:00 PM PT


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Data Lakes & Analytics

Webinar 1:

What's New / Cloud Innovation

December 10th, 2018 | 11:00 AM PT


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Webinar 2:

What's New / Cloud Innovation

December 12th, 2018 | 11:00 AM PT


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