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Accelerate development of ML workflows with Amazon Q Developer in Amazon SageMaker Studio

Machine Learning Blog

This article discusses how to use Amazon Q Developer, a generative AI-powered developer assistant, to accelerate machine learning (ML) workflows within Amazon SageMaker Studio.

Specifically, the article covers:

  • An overview of Amazon Q Developer's integration with SageMaker Studio and how to set it up
  • Using the chat feature to get step-by-step guidance, code generation, and troubleshooting support for ML tasks
  • Using inline code suggestions within Jupyter notebooks for data exploration, feature engineering, model training/evaluation, and deployment
  • How to manage data sharing preferences for Amazon Q Developer within SageMaker Studio
  • A demonstration using the Diabetes 130-US hospitals dataset to build an ML model for predicting readmission risk
  • Conclusion and information on getting started with Amazon Q Developer in SageMaker Studio
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