Duration: 1 Day
This course is designed for data scientists with experience of Pythion who need to learn how to apply their data science and machine learning skills on Azure Databricks.
Module 1: Introduction to Azure Databricks
In this module, you will learn how to provision an Azure Databricks workspace and cluster, and use them to work with data.
Hands-on : Getting Started with Azure Databricks
Hands-on : Working with Data in Azure Databricks
Module 2: Training and Evaluating Machine Learning Models
In this module, you will learn how to use Azure Databricks to prepare data for modeling, and train and validate a machine learning model.
Hands-on : Training a Machine Learning Model
Hands-0n : Preparing Data for Machine Learning
Module 3: Managing Experiments and Models
In this module, you will learn how to use MLflow to track experiments running in Azure Databricks, and how to manage machine learning models.
Hands-on : Using MLflow to Track Experiments
Hands-on : Managing Models
Module 4: Integrating Azure Databricks and Azure Machine Learning
In this module, you will learn how to integrate Azure Databricks with Azure Machine Learning
Hands-on : Deploying Models in Azure Machine Learning
Hands-on : Running Experiments in Azure Machine Learning