Manage machine learning in production with Azure Databricks
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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.
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:
Explore Azure Databricks
Use Apache Spark in Azure Databricks
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