Broadcast Date: March 17, 2023
Level: 300
Learn from AWS Machine Learning Hero Vinicius Caridá how Amazon SageMaker enables data scientists and IT operations professionals to collaborate and manage ML workflow in production throughout the ML lifecycle including, data preparation, creation, training, deployment and monitoring models.
Learning Objectives
- Learn how to use Amazon SageMaker to efficiently collaborate with teams across all steps of the ML lifecycle.
- Learn how to automate the different steps of the ML workflow, including data loading, data transformation, training and tuning, and deployment.
- Learn how to create, automate, and manage end-to-end ML workflows at scale.
Who Should Attend?
Developers, Data Scientists, ML practitioners
Speaker(s)
Vinicius Caridá, Head of Digital Customer Service Platforms, PCP, WFM, Data and AI, Itaú
Learn More
To learn more about the services featured in this talk, please visit:
aws.amazon.com/kendra/
Intro body copy here about 2018 re:Invent launches.
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