Databricks Machine Learning Fundamentals
Completed by Ramkumar Rajendran
February 15, 2026
3 hours (approximately)
Ramkumar Rajendran'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: Engineering
- Category: Model Training
- Category: Model Deployment
- Category: Real Time Data
- Category: Databricks
- Category: PySpark
- Category: Machine Learning
- Category: MLOps (Machine Learning Operations)
- Category: Feature Engineering
- Category: AI Workflows
- Category: Application Deployment
- Category: Scikit Learn (Machine Learning Library)
