Implementing a Machine Learning solution with Azure Databricks DP-3014

Module 1Explore Azure Databricks

• Get started with Azure Databricks
• Identify Azure Databricks workloads
• Understand key concepts

Module 2Use Apache Spark in Azure Databricks

• Get to know Spark
• Create a Spark cluster
• Use Spark in notebooks
• Use Spark to work with data files
• Visualize data

Module 3Train a machine learning model in Azure Databricks

• Understand principles of machine learning
• Machine learning in Azure Databricks
• Prepare data for machine learning
• Train a machine learning model
• Evaluate a machine learning model

Module 4Use MLflow in Azure Databricks

• Capabilities of MLflow
• Run experiments with MLflow
• Register and serve models with MLflow

Module 5Tune hyperparameters in Azure Databricks

• Optimize hyperparameters with Hyperopt
• Review Hyperopt trials
• Scale Hyperopt trials

Module 6Use AutoML in Azure Databricks

• What is AutoML?
• Use AutoML in the Azure Databricks user interface
• Use code to run an AutoML experiment

Module 7Train deep learning models in Azure Databricks

• Understand deep learning concepts
• Train models with PyTorch
• Distribute PyTorch training with Horovod