Reproducible Training Data and ML-Ready Data Pipelines
Completed by Indiana Jeremy teremiti Tempié
August 25, 2026
21 hours (approximately)
Indiana Jeremy teremiti Tempié's account is verified. Coursera certifies their successful completion of Reproducible Training Data and ML-Ready Data Pipelines
What you will learn
1.Build reproducible dataset pipelines with versioning, lineage, and release controls.
2.Detect leakage, contamination, and point-in-time correctness issues in training data.
3.Design feature and label workflows with drift monitoring and validation checks.
4.Apply CI gates for schema, slice, distribution, bias, and reproducibility validation.
Skills you will gain
- Category: Model Evaluation
- Category: Taxonomy
- Category: Continuous Monitoring
- Category: Model Training
- Category: Metadata Management
- Category: Data Quality
- Category: Data Pipelines
- Category: Release Management
- Category: Record Keeping
- Category: Data Validation
- Category: Data Collection
- Category: Data Governance
