Menu
    Instructor-led Training

    Course Description

    Azure Databricks is a cloud-scale platform for data analytics and machine learning. In this one-day course, you'll learn how to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning.

    Audience Profile

    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

    Course Outline

    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.

    Lessons

    • Getting Started with Azure Databricks
    • Working with Data in Azure Databricks

    Lab : Getting Started with Azure Databricks

    Lab : Working with Data in Azure Databricks

    After completing this module, you will be able to:

    • Provision an Azure Databricks workspace and cluster
    • Use Azure Databricks to work with data

    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.

    Lessons

    • Preparing Data for Machine Learning
    • Training a Machine Learning Model

    Lab : Training a Machine Learning Model

    Lab : Preparing Data for Machine Learning

    After completing this module, you will be able to use Azure Databricks to:

    • Prepare data for modeling
    • Train and validate a machine learning model

    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.

    Lessons

    • Using MLflow to Track Experiments
    • Managing Models

    Lab : Using MLflow to Track Experiments

    Lab : Managing Models

    After completing this module, you will be able to:

    • Use MLflow to track experiments
    • Manage 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

    Lessons

    • Tracking Experiments with Azure Machine Learning
    • Deploying Models

    Lab : Deploying Models in Azure Machine Learning

    Lab : Running Experiments in Azure Machine Learning

    After completing this module, you will be able to:

    • Run Azure Machine Learning experiments on Azure Databricks compute
    • Deploy models trained on Azure Databricks to Azure Machine Learning

    Build An In-house Team Of Cloud Experts With Dedicated Courses!

    Learn fundamental to advanced skills using Azure, Microsoft 365, and related business applications. Meet with a Microsoft Certified Training Specialist to design a custom learning plan for your organization!

    Contact Us