Tags
AWS Project
11 items
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AI PROJECT-1.0 AWS SageMaker Tutorial
Legacy SageMaker notebook workflow for building, training, and deploying models. Verify current AWS service and SDK guidance before production use.
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AI PROJECT-1.2 Download Dataset in JupyterLab or Jupyter Notebook
Learn how to create a Jupyter notebook in the SageMaker notebook instance
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AI PROJECT-1.3 Split the Dataset into Multiple Datasets
Learn how to Split the Dataset into Train, Validation, and Test Datasets
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AI PROJECT-1.4 Convert the Dataset into CSV Files
Learn how to Convert the Dataset into CSV Files
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AI PROJECT-1.5 Upload the Dataset to Amazon S3
Learn how to upload the Dataset to Amazon S3
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AI PROJECT-1.6 How to Train the Model?
Learn how to How to Train the Model
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AI PROJECT-1.7 How to Deploy the Model?
Learn how to How to Deploy the Model
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AI PROJECT-1.8 How to Evaluate the Model?
Learn how to How to Evaluate the Model
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AI PROJECT-2.0 AWS SageMaker Tutorial
Legacy SageMaker notebook workflow for building, training, deploying, and evaluating an XGBoost model. Verify current SDK APIs before production use.
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AI PROJECT-3.0 Gen AI Project - Text Generator
Learn How to a simple text generator with Amazon Bedrock, LangChain, and Streamlit.
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Introduction to Amazon SageMaker AI
Understand Amazon SageMaker AI for building, training, and deploying machine-learning models.