Build, Train, and Deploy models with Amazon SageMaker

Published: 16 August 2023
on channel: Toronto Machine Learning Series (TMLS)

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Speakers:
Stefan Natu - Data Scientist/Machine Learning Specialist & Senior ML Specialist, AWS
Saeed Aghabozorgi - ML Specialist Solutions Architect , AWS

Workshop Materials:
For the top use cases, AWS provides pre-built customizable solutions that can accelerate your ML journey by offering a dataset, AWS CloudFormation template, and reference architecture so you can move quickly from concept to production with just a few clicks. The solutions can be easily modified to work with any dataset. To explore the available solution, visithttps://aws.amazon.com/sagemaker/gett...
Videos and tutorials:
GETTING STARTED VIDEO SERIES: http://bit.ly/sagemaker-getting-start...
TEN-MINUTE TUTORIAL: http://bit.ly/sagemaker-tutorial
ONLINE WORKSHOPS: https://www.getstartedonsagemaker.com/
We also offer live classes with accredited AWS instructors who teach using a mix of presentations, discussion, and hands-on labs. Explore tailored learning paths by role for ML at https://aws.amazon.com/training/learn...

Key Learnings:
Hands-on experience with SageMaker to train and deploy a ML model

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