AI-900: Azure AI Fundamentals: Authoring with the Azure ML Studio Designer


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level


Overview/Description

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.



Expected Duration (hours)
1.2

Lesson Objectives

AI-900: Azure AI Fundamentals: Authoring with the Azure ML Studio Designer

  • 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

    • Course Number:
    it_clazaif_04_enus

    Expertise Level
    Beginner