Databricks Machine Learning Fundamentals
Completed by Armin Siavashi
April 15, 2026
3 hours (approximately)
Armin Siavashi'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: Real Time Data
- Category: Model Evaluation
- Category: Machine Learning
- Category: Feature Engineering
- Category: Model Deployment
- Category: Engineering
- Category: Data Preprocessing
- Category: Applied Machine Learning
- Category: Apache Spark
- Category: Databricks
- Category: PySpark
- Category: Model Training
