Data Engineering and Spark Foundations for AI and ML
Completed by Viet Phan Le Hoang
August 5, 2026
5 hours (approximately)
Viet Phan Le Hoang'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: Applied Machine Learning
- Category: Data Import/Export
- Category: Artificial Intelligence
- Category: JSON
- Category: Databricks
- Category: Machine Learning
- Category: Database Architecture and Administration
- Category: Data Entry
- Category: Data Architecture
- Category: Data Processing
- Category: Data Lakes
