aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
This project provides a collection of example Jupyter notebooks that show you how to use Amazon SageMaker for your machine learning projects. These notebooks walk you through the entire machine learning workflow, from preparing data to building, training, deploying, and monitoring models. Data scientists, machine learning engineers, and researchers can use these examples to learn how to operationalize their ML models on AWS.
10,883 stars. Actively maintained with 2 commits in the last 30 days.
Use this if you are a data scientist or ML engineer looking for practical, runnable examples to learn and implement machine learning workflows on Amazon SageMaker.
Not ideal if you are looking for a foundational Python SDK for SageMaker that offers object-oriented interfaces and resource chaining for highly customized ML workloads.
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Jupyter Notebook
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Apache-2.0
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Last pushed
Feb 24, 2026
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