MLOps with Flyte - Challenges and Solutions in Machine Learning Operations

MLOps with Flyte - Challenges and Solutions in Machine Learning Operations

CNCF [Cloud Native Computing Foundation] via YouTube Direct link

Intro

1 of 15

1 of 15

Intro

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Classroom Contents

MLOps with Flyte - Challenges and Solutions in Machine Learning Operations

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  1. 1 Intro
  2. 2 Software Engineering Practices
  3. 3 Technical Debt
  4. 4 Develop Incrementally and Constantly Iterate @ Scale
  5. 5 Memoize, Recover and Reproduce
  6. 6 Collaboration & Organizational Scaling
  7. 7 Extend Simply
  8. 8 Building Blocks: Tasks
  9. 9 Workflows
  10. 10 Workflow Modalities
  11. 11 #1: Execute and Interact
  12. 12 Features for Platform Folks
  13. 13 Architecture Overview
  14. 14 #1: Intra-task Checkpointing
  15. 15 MLOps Best Practices

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