Databricks Machine Learning Fundamentals
Completed by Simone Tanzarella
February 22, 2026
3 hours (approximately)
Simone Tanzarella's account is verified. Coursera certifies their successful completion of Databricks Machine Learning Fundamentals
What you will learn
Apply the end-to-end ML life cycle for data preparation and analysis within the Databricks platform.
Utilize Databricks and MLflow to systematically track experiments and manage the machine learning model life cycle.
Deploy Machine Learning models effectively using the MLflow Model Registry and Databricks Model Serving.
Skills you will gain
- Category: Databricks
- Category: PySpark
- Category: Real Time Data
- Category: Machine Learning
- Category: Feature Engineering
- Category: MLOps (Machine Learning Operations)
- Category: Model Training
- Category: Model Deployment
- Category: AI Workflows
- Category: Application Deployment
- Category: Apache Spark
- Category: Model Evaluation
