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Ml ops with azure ml & git hub actions

  1. MLOps with GitHub Actions and Azure Machine Learning Azure ML + GitHub Actions Pulkit Agarwal, Product Manager @ GitHub
  2. MLOps ?
  3. DevOps for ML
  4. What is DevOps? DevOps is the union of people, processes, and technologies to deliver continuous value to users Development + operations
  5. What is MLOps? Union of people, processes, and technologies to deliver continuous value to users using a ML based software application
  6. Is MLOps challenging ? Why ?
  7. Building a model
  8. Building a model Data ingestion Data analysis Data transformation Data validation Data splitting Model validation Training at scale Logging Deploying the model Monitoring Machine Learning Applications Lifecycle
  9. Cat or Not ?
  10. Collaboration on code Remote Training Models bookkeeping (Many!) Manual Steps Managing Data and Code Updates Challenges with MLOps
  11. MLOps sounds hard ?
  12. Lets make MLOps Easy-ish
  13. Lets make MLOps Easy-ish
  14. Collaboration on code Remote Training Models Book keeping (Many!) Manual Steps Data and Code Updates Making MLOps Easy(-ish)
  15. Making MLOps Easy(-ish) + + ML Optimized Compute Source Control ML Aware CI/CD
  16. Making MLOps Easy(-ish) + + Source Control ML Aware CI/CD
  17. Making MLOps Easy(-ish) + + ML Aware CI/CD
  18. Making MLOps Easy(-ish) + +
  19. DEMO aka.ms/aidevday-mlops
  20. Thank You Happy to take any questions ! GitHub Handle: @pulkitaggarwl || Email ID: puagarw@microsoft.com
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