Production and MLOps Section 087

Data Engineering for AI

The unglamorous work that decides whether a model succeeds — getting good data and keeping it good.

13 of 13 lessons published Three reading levels on every lesson

Start with “Why data quality decides everything”

Lessons in order

Work top to bottom. Each lesson assumes the one above it.

  1. Why data quality decides everything
  2. Collecting data
  3. Labelling data
  4. Cleaning data
  5. Handling missing data
  6. Imbalanced data
  7. Data augmentation
  8. Synthetic data
  9. Data versioning
  10. Feature stores
  11. ETL for machine learning
  12. Streaming data
  13. Building a data pipeline