Data Engineering and Spark Foundations for AI and ML
Completed by Ruth Elizabeth Muller
July 24, 2026
5 hours (approximately)
Ruth Elizabeth Muller's account is verified. Coursera certifies their successful completion of Data Engineering and Spark Foundations for AI and ML
What you will learn
Explain data engineering concepts, Lakehouse architecture, and the role of Databricks in modern data platforms.
Apply Apache Spark and PySpark to process, transform, and manage structured data efficiently.
Implement batch, API-based, and streaming data ingestion workflows using Databricks.
Organize data assets using Unity Catalog, catalogs, schemas, and volumes.
Skills you will gain
- Category: Data Warehousing
- Category: Data Import/Export
- Category: Artificial Intelligence
- Category: SQL
- Category: Distributed Computing
- Category: JSON
- Category: Real Time Data
- Category: Data Collection
- Category: Apache Spark
- Category: Database Architecture and Administration
- Category: Data Pipelines
- Category: PySpark
