Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model
.agent/workflows/machine-learning-ops/1.2.1/skills/ml-pipeline-workflow(main)