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Microsoft

Microsoft Azure AI Fundamentals: Explore visual tools for machine learning

Microsoft via Microsoft Learn

Overview

  • Module 1: Use automated machine learning in Azure Machine Learning
  • Learn how to use the automated machine learning user interface in Azure Machine Learning

  • Module 2: Create a Regression Model with Azure Machine Learning designer
  • Learn how to train and publish a regression model with Azure Machine Learning designer.

  • Module 3: Create a classification model with Azure Machine Learning designer
  • Train and publish a classification model with Azure Machine Learning designer

  • Module 4: Create a Clustering Model with Azure Machine Learning designer
  • Train and publish a clustering model with Azure Machine Learning designer

Syllabus

  • Module 1: Use automated machine learning in Azure Machine Learning
    • Introduction
    • What is machine learning?
    • Create an Azure Machine Learning workspace
    • Create compute resources
    • Explore data
    • Train a machine learning model
    • Deploy a model as a service
    • Knowledge check
    • Summary
  • Module 2: Create a Regression Model with Azure Machine Learning designer
    • Introduction
    • Create an Azure Machine Learning workspace
    • Create compute resources
    • Explore data
    • Create and run a training pipeline
    • Evaluate a regression model
    • Create an inference pipeline
    • Deploy a predictive service
    • Knowledge check
    • Summary
  • Module 3: Create a classification model with Azure Machine Learning designer
    • Introduction
    • Create an Azure Machine Learning workspace
    • Create compute resources
    • Explore data
    • Create and run a training pipeline
    • Evaluate a classification model
    • Create an inference pipeline
    • Deploy a predictive service
    • Knowledge check
    • Summary
  • Module 4: Create a Clustering Model with Azure Machine Learning designer
    • Introduction
    • Create an Azure Machine Learning workspace
    • Create compute resources
    • Explore data
    • Create and run a training pipeline
    • Evaluate a clustering model
    • Create an inference pipeline
    • Deploy a predictive service
    • Knowledge check
    • Summary

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