Advanced Machine Learning with Databricks

lt;pgt;This course is designed for data scientists and machine learning practitioners seeking to scale machine learning workflows and implement MLOps best practices using Databricks. The course is delivered over two four-hour modules, covering Apache Spark for ML, hyperparameter tuning with Optuna, and MLOps automation with Databricks tools such as Databricks Asset Bundles (DABs), Workflows, and Mosaic AI Model Serving.lt;/pgt;lt;pgt; lt;/pgt;lt;pgt;Participants will gain hands-on experience with Spark ML, pandas APIs on Spark, MLflow, and Unity Catalog, ensuring effective model tracking, governance, and deployment.lt;/pgt;