Tutorials#

Learn how to run NeMo Safe Synthesizer jobs through hands-on tutorials to generate private synthetic versions of sensitive tabular datasets. Each tutorial provides step-by-step guidance with executable code examples.

Prerequisites#

Before starting any tutorial, ensure you have:

  • NeMo Safe Synthesizer deployed using Docker Compose or Helm

  • Python environment with nemo-platform SDK installed:

    pip install nemo-platform[safe-synthesizer]

  • Jupyter environment for running tutorial notebooks

Getting Started#

Safe Synthesizer 101

Learn the basics with your first Safe Synthesizer job, leveraging smart defaults. This tutorial covers uploading data, running a synthesis job with PII replacement, and reviewing evaluation reports.

Topics covered:

  • Installing the SDK

  • Connecting to Safe Synthesizer

  • Using SafeSynthesizerJobBuilder

  • Monitoring job progress

  • Retrieving synthetic data and evaluation reports

beginner 20 minutes

Safe Synthesizer 101

Advanced Topics#

Differential Privacy Tutorial

Apply differential privacy to achieve the maximum level of privacy with mathematical guarantees. This tutorial explores the privacy-utility tradeoff and how to configure differential privacy parameters.

Topics covered:

  • Understanding differential privacy concepts (epsilon, delta)

  • Configuring privacy hyperparameters

  • Privacy budget analysis

  • Evaluating privacy-utility tradeoffs

  • Interpreting privacy metrics

intermediate 1.5 hours

Differential Privacy Tutorial

Additional Resources#

After completing these tutorials, explore:

Need Help?#