Azure AI Fundamentals: Working with Azure Machine Learning Studio

Azure 2024    |    Beginner
  • 15 videos | 1h 30m
  • Includes Assessment
  • Earns a Badge
Rating 5.0 of 9 users Rating 5.0 of 9 users (9)
Azure Machine Learning Studio can be used to build machine learning pipelines and manage, normalize, and transform data for use in regression, classification, and clustering models. In this course, you will work with Azure Machine Learning Studio, beginning with ingesting data from Azure storage and Azure Blob storage, labeling data in Azure Machine Learning Studio, running and testing scripts, and creating an automated model. Then you will discover how to run an automated experiment, select the best model, deploy a model as a predictive service, and test a predictive service. Finally, you will explore how to manage compute resources and data stores, manage datasets and experiments, pipelines and models, and endpoints. 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
    Ingest data from an azure storage source
    Ingest data from an azure blob storage resource
    Label data in a dataset using the azure machine learning studio interface
    Manually run test scripts using notebook
    Use an automated machine learning (automl) model to create an experiment that will automatically find the best fit model
    Run an automl model experiment to find the best fit model
    Evaluate the results of an automl model experiment to determine the best model results
  • Deploy an automl model as a predictive service
    Test an automl predictive service by using it to obtain predictions based on test data
    Manage and manipulate compute resources and data stores in azure machine learning studio
    Manipulate and configure datasets and experiments, including for other team members, in azure machine learning studio
    Manage stored pipelines and models in azure machine learning studio
    Manage and configure endpoints in azure machine learning studio
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 1s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 7m 27s
    During this video, you will learn how to ingest data from an Azure Storage source. FREE ACCESS
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    3.  Ingesting Data from Azure Blob Storage
    6m 35s
    In this video, find out how to ingest data from an Azure Blob storage resource. FREE ACCESS
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    4.  Labeling Data in Azure Machine Learning Studio
    7m 11s
    During this video, discover how to label data in a dataset using the Azure Machine Learning Studio interface. FREE ACCESS
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    5.  Running and Testing Scripts
    6m 47s
    Learn how to manually run test scripts using Notebook. FREE ACCESS
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    6.  Creating an Automated Model
    6m 52s
    In this video, find out how to use an automated machine learning (AutoML) model to create an experiment that will automatically find the best fit model. FREE ACCESS
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    7.  Running an Automated Experiment
    5m 55s
    Discover how to run an AutoML model experiment to find the best fit model. FREE ACCESS
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    8.  Selecting the Best Model
    7m 3s
    Find out how to evaluate the results of an AutoML model experiment to determine the best model results. FREE ACCESS
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    9.  Deploying a Model as a Predictive Service
    6m 6s
    In this video, discover how to deploy an AutoML model as a predictive service. FREE ACCESS
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    10.  Testing a Predictive Service
    6m 25s
    During this video, you will learn how to test an AutoML predictive service by using it to obtain predictions based on test data. FREE ACCESS
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    11.  Managing Compute Resources and Data Stores
    6m 50s
    Find out how to manage and manipulate compute resources and data stores in Azure Machine Learning Studio. FREE ACCESS
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    12.  Managing Datasets and Experiments
    6m 22s
    Learn how to manipulate and configure datasets and experiments, including for other team members, in Azure Machine Learning Studio. FREE ACCESS
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    13.  Managing Pipelines and Models
    7m 16s
    During this video, discover how to manage stored pipelines and models in Azure Machine Learning Studio. FREE ACCESS
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    14.  Managing Endpoints
    7m 24s
    In this video, you will learn how to manage and configure endpoints in Azure Machine Learning Studio. FREE ACCESS
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    15.  Course Summary
    45s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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