AI-900 - Azure AI Fundamentals: Using Azure Machine Learning Designer





Azure Machine Learning Studio and Designer provide powerful options for authoring machine learning (ML) models. In this course, you'll explore model authoring with Azure Machine Learning Designer, including how to work with datasets, select dataset features, and add data transformations. Then, you’ll discover how to normalize data, view normalized data, and split datasets. Finally, you’ll explore how to use regression, classification, and clustering models in Azure Machine Learning Designer. This course is one of a collection that prepares learners for the Microsoft Azure AI Fundamentals (AI-900) exam.




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AI-900 - Azure AI Fundamentals: Using Azure Machine Learning Designer

  • provide an overview of Azure Machine Learning Designer and its features, including assets and pipelines
  • create and use dataset components in Azure Machine Learning Designer
  • select features from a dataset in Azure Machine Learning Designer
  • prepare data by adding data transformations in Azure Machine Learning Designer
  • add data normalizing and cleaning components in Azure Machine Learning Designer
  • view output from normalized and transformed datasets in Azure Machine Learning Designer
  • split datasets into testing and evaluation sets in preparation for model training and evaluation using Azure Machine Learning Designer
  • add and use regression training models in Azure Machine Learning Designer
  • configure and use classification models in Azure Machine Learning Designer
  • use clustering models in Azure Machine Learning Designer


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