Phase 12 · Model Deployment & MLOps

Topics

CI/CD for ML Pipelines (Overview)

Part of the Data Science Roadmap.

Summary

Automating the testing and deployment of model updates — similar to software CI/CD, but also needs to validate model performance, not just that the code runs without errors.

How to Learn This

  • 1Read an overview of how ML pipelines differ from standard software CI/CD.
  • 2Learn what an automated 'model performance gate' before deployment might check.
  • 3Understand this is often owned jointly with ML/platform engineers, not solely by a data scientist.
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