Overview of Amazon SageMaker

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Data Storage: Setting up S3

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Figure 1

Image 1 of 1: ‘Screenshot showing required tags for an S3 bucket’

Purpose: Dataset name (e.g., titanic if you’re following along with this workshop)

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Notebooks as Controllers

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Figure 1

Image 1 of 1: ‘Tag Setup Example’

Tag Setup Example

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Accessing and Managing Data in S3 with SageMaker Notebooks

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Using a GitHub Personal Access Token (PAT) to Push/Pull from a SageMaker Notebook

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Training Models in SageMaker: Intro

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Training Models in SageMaker: PyTorch Example

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Hyperparameter Tuning in SageMaker: Neural Network Example

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Resource Management and Monitoring

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