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Alpha This lesson is in the alpha phase, which means that it has been taught once and lesson authors are iterating on feedback.

Intro to AWS SageMaker for Predictive ML/AI

Intro to AWS SageMaker for Predictive ML/AI
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Intro to AWS SageMaker for Predictive ML/AI

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EPISODES

Summary and Schedule

1. Overview of Amazon SageMaker

2. Data Storage: Setting up S3

3. Notebooks as Controllers

4. Accessing and Managing Data in S3 with SageMaker Notebooks

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

6. Training Models in SageMaker: Intro

7. Training Models in SageMaker: PyTorch Example

8. Hyperparameter Tuning in SageMaker: Neural Network Example

9. Overview of RAG Workflows on AWS

10. Resource Management and Monitoring

Key Points
Instructor Notes
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Glossary
Instances for ML

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Learner Profiles

Learner Profiles

This page describes the target learners for this AWS SageMaker workshop.

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