Azure AI Fundamentals: Introduction to Azure Machine Learning Studio

Azure 2024    |    Intermediate
  • 10 videos | 54m 51s
  • Includes Assessment
  • Earns a Badge
The Azure Machine Learning Studio provides a proficient design tool that can be used to build machine learning pipelines. In this course, you'll explore Azure Machine Learning Studio and practice using its features for managing, normalizing, and transforming data for use in regression, classification, and clustering models. You'll begin with Azure service experiments, classification evaluation metrics, and regression evaluation metrics. Then, you'll learn how to create an Azure Machine Learning workspace, how to create a compute resource, and how to create a dataset. Finally, you'll discover how to create model packages and how to deploy models. This course is one of a collection that prepares learners for the Microsoft Azure AI Fundamentals (AI-900) exam.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Provide an overview of experiments and how to run them in azure machine learning studio
    Identify and interpret evaluation metrics for a run of a classification model
    Provide an overview of the evaluation metrics for a run of a regression model
    Create and configure an azure machine learning workspace
  • Create a compute resource using azure machine learning studio
    Create a dataset using azure machine learning studio
    Create azure machine learning model packages
    Outline key considerations for model deployment in azure machine learning, including endpoints and packages
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 56s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 8m 38s
    After completing this video, you will be able to provide an overview of experiments and how to run them in Azure Machine Learning Studio. FREE ACCESS
  • Locked
    3.  Classification Evaluation Metrics
    5m 29s
    Upon completion of this video, you will be able to identify and interpret evaluation metrics for a run of a classification model. FREE ACCESS
  • Locked
    4.  Regression Evaluation Metrics
    5m 49s
    After completing this video, you will be able to provide an overview of the evaluation metrics for a run of a regression model. FREE ACCESS
  • Locked
    5.  Creating an Azure Machine Learning Workspace
    6m 28s
    Learn how to create and configure an Azure Machine Learning workspace. FREE ACCESS
  • Locked
    6.  Creating a Compute Resource
    6m 9s
    In this video, find out how to create a compute resource using Azure Machine Learning Studio. FREE ACCESS
  • Locked
    7.  Creating a Dataset
    7m 19s
    In this video, discover how to create a dataset using Azure Machine Learning Studio. FREE ACCESS
  • Locked
    8.  Creating Model Packages
    7m 20s
    In this video, you will learn how to create Azure Machine Learning model packages. FREE ACCESS
  • Locked
    9.  Model Deployment
    6m 9s
    After completing this video, you will be able to outline key considerations for model deployment in Azure Machine Learning, including endpoints and packages. FREE ACCESS
  • Locked
    10.  Course Summary
    34s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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