Cloud Data Science: Consume Models and APIs Using Azure Machine Learning Studio


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level


Overview/Description

Discover how to consume models and APIs in Azure Machine Learning Studio. 



Expected Duration (hours)
1.4

Lesson Objectives

Cloud Data Science: Consume Models and APIs Using Azure Machine Learning Studio

  • obtain an Azure Machine Learning authorization key
  • connect to a web service in Azure Machine Learning Studio
  • use a Request-Response Service (RRS) to consume a published Azure Machine Learning model
  • use a Batch Execution Service to consume a published Azure Machine Learning model
  • call a web service from Excel
  • use the Excel add-in for your Azure Machine Learning web service
  • describe Azure API Management
  • describe Azure Machine Learning Studio REST APIs
  • use a Request-Response Service template to consume a web service
  • use a Batch Execution Service template to consume a web service
  • publish your Azure Machine Learning Model to the Azure AI Gallery
  • call the Computer Vision API to analyze an image and retrieve metadata
  • use the Language API to process text
  • use the Recommendations Solution template to create product recommendations
  • consume an Azure Machine Learning web service

    • Course Number:
    it_dfpdsm_03_enus

    Expertise Level
    Expert