PMLE - Automating and Orchestrating ML Pipelines - Section 5.1

Develop end-to-end ML pipelines that validate data and models, orchestrate managed and unmanaged services from templates or custom solutions such as Agent Platform Pipelines, Managed Service for Apache Airflow, and Ray on the Agent Platform, and ensure consistent data preprocessing between training and serving.

Build end-to-end ML pipelines that include data and model validation steps, and choose between Agent Platform Pipelines, Managed Service for Apache Airflow, and Ray on Agent Platform based on orchestration complexity and workload type. Ensure training-serving consistency by applying identical preprocessing logic in both pipeline stages, preventing skew at inference time.

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