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Data Engineering for ML (ETL, Quality, Features)
Build reliable datasets for ML: validation, feature-ready tables, and training/serving parity foundations.
Data EngineeringETLData QualityFeatures
Duration
3 days
Format
Remote
Level
Intermediate
Key outcomes
- Design datasets for training/inference parity
- Implement validation and quality checks
- Structure features and transformations for reuse
- Avoid common pipeline failure modes
Program
Detailed syllabus will be published soon. Contact us to receive the latest version.