Day 37: Designing Modular Components — Using the KFP Python SDK

This lesson shows how to use the KFP Python SDK to design modular, reusable pipeline components that scale, evolve independently, and remain reliable in production ML systems. What This Lesson Covers Why modularity is critical in production ML pipelines Turning Python functions into KFP components Designing clear input/output contracts Building reusable, single-responsibility components Data flow between pipeline steps Faster iteration, retries, and failure isolation #Kubeflow #KubeflowPipelines #MLOps #MLArchitecture #PipelineDesign #ProductionML #AIEngineering