Azure Databricks Machine Learning Exercises
These exercises support Microsoft course DP-090: Implementing a Machine Learning Solution with Microsoft Azure Databricks and the associated Microsoft Learn training content.
| Module | Lab |
|---|---|
| Module 1 - Introduction to Azure Databricks | Getting Started with Azure Databricks |
| Module 1 - Introduction to Azure Databricks | Working with Data in Azure Databricks |
| Module 2 - Training and Evaluating Machine Learning Models | Preparing Data for Machine Learning |
| Module 2 - Training and Evaluating Machine Learning Models | Training and Validating a Machine Learning Model |
| Module 3 - Managing Experiments and Models | Using MLflow to Track Experiments |
| Module 3 - Managing Experiments and Models | Managing Models |
| Module 4 - Integrating Azure Databricks and Azure Machine Learning | Running experiments in Azure Machine Learning |
| Module 4 - Integrating Azure Databricks and Azure Machine Learning | Deploying Models in Azure Machine Learning |
| Optional exercise | Hyperparameter tuning with Azure Databricks |
| Optional exercise | Distributed deep learning with Azure Databricks |