Practical Machine Learning on Databricks
Completed by Marta Tosolini
August 7, 2026
6 hours (approximately)
Marta Tosolini's account is verified. Coursera certifies their successful completion of Practical Machine Learning on Databricks
What you will learn
Build scalable machine learning pipelines using Databricks AutoML, MLflow, and Feature Store
Deploy, monitor, and retrain ML models using CI/CD workflows and model drift detection
Automate end-to-end machine learning operations with Databricks Jobs and deployment tools
Skills you will gain
- Category: Machine Learning Software
- Category: Feature Engineering
- Category: Statistical Machine Learning
- Category: Apache Spark
- Category: Development Environment
- Category: MLOps (Machine Learning Operations)
- Category: Cloud Deployment
- Category: Machine Learning
- Category: AI Workflows
- Category: Machine Learning Algorithms
- Category: Model Deployment
- Category: Model Evaluation
