Implementing a Machine Learning Solution with Microsoft Azure Databricks Training (DP-090)

Level: Intermediate

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.

Key Features of this Microsoft DP-090 Training:

  • Microsoft Official Course content 
  • After-course instructor coaching

You Will Learn How To:

  • Provision an Azure Databricks workspace and cluster
  • Use Azure Databricks to train a machine learning model
  • Use MLflow to track experiments and manage machine learning models
  • Integrate Azure Databricks with Azure Machine Learning

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  • 1-Day Instructor-Led Training Course
  • Microsoft Official Course content 
  • After-course instructor coaching
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Note: This course runs for 1 Day

  • 14 Dec 9:00 AM - 4:30 PM GMT Online (AnyWare) Online (AnyWare) Reserve Your Seat

  • 15 Mar 9:00 AM - 4:30 PM GMT Online (AnyWare) Online (AnyWare) Reserve Your Seat

  • 14 Jun 9:00 AM - 4:30 PM BST Online (AnyWare) Online (AnyWare) Reserve Your Seat

  • 13 Sep 9:00 AM - 4:30 PM BST Online (AnyWare) Online (AnyWare) Reserve Your Seat

  • 6 Dec 2:00 PM - 9:30 PM GMT New York / Online (AnyWare) New York / Online (AnyWare) Reserve Your Seat

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Important Microsoft DP-090 Training Information

  • Prerequisites

    Before attending this course, you should have experience of using Python to work with data, and some knowledge of machine learning concepts.

  • Who Should Attend This Course

    This course is designed for data scientists with experience of Python who need to learn how to apply their data science and machine learning skills on Azure Databricks.

Microsoft DP-090 Training 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 modelling, 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 modelling
    • 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

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Microsoft DP-090 Training FAQs

  • What is Azure Databricks?

    Azure Databricks is a data analytics platform optimised for the Microsoft Azure cloud services platform. Azure Databricks offers two environments for developing data intensive applications: Azure Databricks SQL Analytics and Azure Databricks Workspace.

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