Engineer, Validate, and Govern ML Data
by Coursera
Learn to build, validate, and govern ML data pipelines using Airflow and Spark. Gain practical skills in data quality, lineage, and scalable ETL workflows.
Why this course
- Covers essential tools like Apache Airflow and Spark with real-world relevance
- Focuses on practical data validation and quality checks in ML pipelines
- Teaches data governance and lineage—critical for production ML systems
- Highly applicable for roles in MLOps, data engineering, and data science
