Manage machine learning in production with Azure Databricks
Machine learning enables data-driven decision-making and automation, but deploying models into production for real-time insights is challenging. Azure Databricks simplifies this process by providing a unified platform for building, training, and deploying machine learning models at scale, fostering collaboration between data scientists and engineers.
Learning objectives
In this module you explore:
- Automate feature engineering and data pipelines
- Model development and training
- Model deployment strategies
- Model versioning and lifecycle management
Prerequisites
Before starting this module, you should be familiar with Azure Databricks. Consider completing the following modules first: