Course details

Cloud Data Science: Deploying Models with Azure Machine Learning Studio

Cloud Data Science: Deploying Models with Azure Machine Learning Studio


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Discover how to deploy models in Azure Machine Learning Studio. 



Expected Duration (hours)
1.3

Lesson Objectives

Cloud Data Science: Deploying Models with Azure Machine Learning Studio

  • prepare and streamline an experiment in preparation for deployment as a predictive analytic solution
  • convert your training experiment into a predictive experiment
  • deploy your experiment as a Classic web service
  • deploy an experiment as a New web service
  • test your web service in both Azure Machine Learning Studio and the Azure Machine Learning Web Service Management portal
  • create a predictive experiment using import and export modules
  • deploy a web service using Web Service Parameters in Azure Machine Learning Studio
  • use the Train Matchbox Recommender to train a recommendation module
  • create and publish a language understanding model using Language Understanding Intelligent Service (LUIS)
  • Course Number:
    it_dfpdsm_02_enus

    Expertise Level
    Expert