Azure AI Fundamentals: Authoring with the Azure ML Studio Designer

Azure    |    Beginner
  • 11 videos | 1h 10m 16s
  • Includes Assessment
  • Earns a Badge
Rating 4.7 of 20 users Rating 4.7 of 20 users (20)
The Azure Machine Learning Studio provides a proficient designer that can be used to build machine learning pipelines. In this course, you'll explore Azure ML Studio Designer and practice using its features for managing, normalizing, and transforming data for use in regression, classification, and clustering models. You'll also learn how to select features from a dataset and create datasets for training and validating models within Studio Designer. By the end of the course, you'll be able to use datasets, add transformations, normalize and clean data, split datasets, and configure and use a number of models, all within Azure ML Studio Designer. 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
    Create and use a dataset component in azure ml designer
    Select features from a dataset in ml designer
    Add data transformations to prepare data in ml designer
    Add normalizing and cleaning components for data in ml designer
    View the output from different normalized and transformed datasets in azure ml designer
  • Split a dataset into a testing and evaluation set for model training and evaluation using azure ml designer
    Add and use a regression training model in ml designer
    Configure and use a classification model in ml designer
    Use a clustering model in ml designer
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 56s
  • 4m 56s
    Upon completion of this video, you will be able to create and use a dataset component in Azure ML Designer. FREE ACCESS
  • Locked
    3.  Selecting Dataset Features in Azure ML Designer
    7m 15s
    During this video, you will learn how to select features from a dataset in ML Designer. FREE ACCESS
  • Locked
    4.  Adding Data Transformations in Azure ML Designer
    5m 37s
    To prepare data for use in ML Designer, find out how to add data transformations. FREE ACCESS
  • Locked
    5.  Normalizing and Cleaning Data in Azure ML Designer
    7m 45s
    Learn how to add normalizing and cleaning components for data in ML Designer. FREE ACCESS
  • Locked
    6.  Viewing Normalized & Transformed Data in ML Designer
    6m 17s
    In this video, you will learn how to view the output from different normalized and transformed datasets in Azure ML Designer. FREE ACCESS
  • Locked
    7.  Splitting a Dataset for Testing and Evaluation
    5m 27s
    During this video, you will learn how to split a dataset into a testing and evaluation set for model training and evaluation using Azure ML Designer. FREE ACCESS
  • Locked
    8.  Using a Regression Model in Azure ML Designer
    8m 40s
    In this video, you will learn how to add and use a regression training model in ML Designer. FREE ACCESS
  • Locked
    9.  Using a Classification Model in Azure ML Designer
    12m 35s
    Discover how to configure and use a classification model in ML Designer. FREE ACCESS
  • Locked
    10.  Using a Clustering Model in Azure ML Designer
    10m 3s
    In this video, you will use a clustering model in ML Designer. FREE ACCESS
  • Locked
    11.  Course Summary
    46s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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