Data Engineering and Spark Foundations for AI and ML
Completed by Camila Silva Monteiro
September 12, 2026
5 hours (approximately)
Camila Silva Monteiro'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: Distributed Computing
- Category: Artificial Intelligence
- Category: Data Warehousing
- Category: SQL
- Category: Applied Machine Learning
- Category: JSON
- Category: Data Architecture
- Category: PySpark
- Category: Data Management
- Category: Data Entry
- Category: Python Programming
- Category: Databricks
