Designing and Implementing a Data Science Solution on Azure (DP-100)

Level: Intermediate

Prepare for the official Microsoft Azure Data Scientist Associate certification exam DP-100 in this Designing and Implementing a Data Science Solution on Azure course. Gain the necessary knowledge about how to use Azure services to develop, train, and deploy, machine learning solutions. The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure's premier data science service, Azure Machine Learning service, to automate the data science pipeline. This course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.

Key Features of this Azure Data Science Certification Training:

  • Microsoft Official Course content
  • Eligible for SATV redemption

You Will Learn How To:

  • Use Azure to services to develop machine learning solutions
  • Deploy machine learning models
  • Automate Machine Learning with Azure Machine Learning service
  • Manage and Monitor Machine Learning Models with the Azure Machine Learning service

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  • 3-day instructor-led training course
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Note: This course runs for 3 Days

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Important Azure Data Science Certification Course Information

  • Requirements

    Before attending this course, students must have:

    • Azure Fundamentals knowledge.
    • An understanding of data science including how to prepare data, train models, and evaluate competing models to select the best one.
    • Python programming language experience and use the Python libraries: pandas, scikit-learn, matplotlib, and seaborn.
  • Who Should Attend This Course

    This course is aimed at data scientists and those with significant responsibilities in training and deploying machine learning models.

  • Exam Information

    This course prepares you to take the DP-100: Designing and Implementing a Data Science Solution on Azure exam.

Azure Data Science Certification Course Outline

  • Module 1: Doing Data Science on Azure

    The student will learn about the data science process and the role of the data scientist. This is then applied to understand how Azure services can support and augment the data science process.

    Lessons
    • Introduce the Data Science Process
    • Overview of Azure Data Science Options
    • Introduce Azure Notebooks
  • Module 2: Doing Data Science with Azure Machine Learning Service

    The student will learn how to use Azure Machine Learning service to automate the data science process end to end.

    Lessons
    • Introduce Azure Machine Learning (AML) service
    • Register and deploy ML models with AML service
  • Module 3: Automate Machine Learning with Azure Machine Learning Service

    In this module, the student will learn about the machine learning pipeline and how the Azure Machine Learning service's AutoML and HyperDrive can automate some of the laborious parts of it.

    Lessons
    • Automate Machine Learning Model Selection
    • Automate Hyperparameter Tuning with HyperDrive
  • Module 4: Manage and Monitor Machine Learning Models with the Azure Machine Learning Service

    In this module, the student will learn how to automatically manage and monitor machine learning models in the Azure Machine Learning service.

    Lessons
    • Manage and Monitor Machine Learning Models

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Azure Data Science Certification FAQs

  • What is required to achieve the Microsoft Certified: Azure Data Scientist Associate certification?

    Attend this course and get prepped to pass Exam DP-100 to achieve Azure Data Scientist Associate certification.
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