A Guide to Building a Continuous MLOps Stack with GCP and Superwise

A Guide to Building a Continuous MLOps Stack with GCP and Superwise

MLOps World: Machine Learning in Production via YouTube Direct link

Pipeline Use Case

10 of 19

10 of 19

Pipeline Use Case

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Classroom Contents

A Guide to Building a Continuous MLOps Stack with GCP and Superwise

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  1. 1 Intro
  2. 2 About Superwise
  3. 3 Why Continuous Training
  4. 4 Why MLOps is Complex
  5. 5 Google Envelopes
  6. 6 Scope
  7. 7 Notebook Setup
  8. 8 Pipeline Overview
  9. 9 Pipeline Explanation
  10. 10 Pipeline Use Case
  11. 11 Train Model
  12. 12 Evaluation
  13. 13 Next Steps
  14. 14 Prerequisites
  15. 15 Component Functions
  16. 16 Flask
  17. 17 Service Account
  18. 18 Predict Instance
  19. 19 Docker Build

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