1: Introduction to Azure Databricks

• First steps with Azure Databricks
• Working with data in Azure Databricks

2: Training and assessment of machine learning models

• Preparing data for machine learning
• Machine learning model training

 3: Experiment and model management

• Using MLflow to track experiments
• Model management

4: Integrating Azure Databricks and Azure Machine Learning

• Tracking experiments with Azure Machine Learning
• Implementing models