/sagemaker-workshop-420

MLinProduction SageMaker workshop hosted in April 2020

Primary LanguageJupyter Notebook

Productioning Machine Learning with Amazon SageMaker

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Directory Structure

  • data/ - Contains datasets used by the Jupyter notebooks. Many of the datasets will be generated by the notebooks and stored here.
  • notebooks/ - Jupyter notebooks used during the workshop. The numerical prefix of the titles indicate the order in which we'll review the notebooks.
  • scripts/ - Custom training scripts and utilities to be used in the notebooks.

Setup Directions

  1. Create an AWS Account.
  2. Follow directions in Onboard to Amazon SageMaker Studio Using Quick Start to create a SageMaker Studio instance.
  3. Open SageMaker Studio.
  4. Open a terminal window.
  5. Clone the sagemaker examples repo by running command git clone git@github.com:awslabs/amazon-sagemaker-examples.git.
  6. Clone the workshop repo by running command git clone git@github.com:lpatruno/sagemaker-workshop-420.git.
  7. Run the setup notebook sagemaker-workshop-420/notebooks/00_setup.ipynb.
    1. Open notebook sagemaker-workshop-420/notebooks/00_setup.ipynb.
    2. Click Run --> Run All Cells to complete setup.

References