Broadcast Date: April 29, 2022

Level: 300

Amazon SageMaker offers low-code options for each step of the ML lifecycle so you can build, train, and deploy high quality models faster. Data scientists, join us for a demo to see how data visualizations, pre-built models, and AutoML can accelerate your machine learning model delivery, so you can focus more on refining predictions and less on low level code.

Learning Objectives

  • Discover how to prepare data in minutes
  • Learn how to work with over 150 pre-built models
  • Use AutoML to training and tune models

Who Should Attend?

Data scientist, data engineers, ML engineers


  • Michael Hsieh - Sr. AI/ML Specialist SA
  • Kosti Vasilakakis - Principal ML GTM Specialist

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

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Data Lakes & Analytics

Webinar 1:

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December 10th, 2018 | 11:00 AM PT


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Webinar 2:

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