Reproducible Training Data and ML-Ready Data Pipelines
Reproducible Training Data and ML-Ready Data Pipelines
This course is part of IBM AI-Native Data Engineering Professional Certificate
Instructor: Ruslan Podgaets
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Intermediate level
Recommended experience
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll 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.
Details to know
Shareable certificate
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Taught in English
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This course is part of the IBM AI-Native Data Engineering Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from IBM
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