• Online, Self-Paced
Course Description

Azure Big Data Analytics solutions provide great automation and Machine Learning capabilities. This course covers the automation of key tasks using Azure PowerShell and key capabilities of Azure Machine Learning for big data analysis.

Learning Objectives

Automating with PowerShell

  • start the course
  • create a Data Factory with Azure PowerShell
  • create a linked service for an Azure storage account
  • create a linked service for an Azure SQL database
  • create an input dataset using Azure PowerShell
  • create an output dataset using Azure PowerShell
  • create a pipeline with a copy activity using Azure PowerShell
  • create a pipeline to transform data using Azure PowerShell
  • monitor a pipeline with Azure PowerShell

 

Azure Machine Learning

  • recognize key features of Azure Machine Learning
  • identify key concepts and terms of Azure Machine Learning
  • recognize key steps in the team data science process and the process lifecycle
  • recognize key features of the Azure Machine Learning Studio
  • recognize key capabilities of the Azure Machine Learning Studio
  • identify key steps to creating an experiment in Azure Machine Learning Studio
  • recognize key steps to deploy an Azure Machine Learning web service
  • retrain a published experiment
  • recognize key aspects of updating models using the Update Resource Activity
  • use batch scoring activity
  • retrain a new Resource Manager using the Machine Learning Management PowerShell cmdlets

 

Practice: Azure Machine Learning Features

  • recognize key concepts, features and capabilities of Azure Machine Learning

 

Framework Connections

The materials within this course focus on the Knowledge Skills and Abilities (KSAs) identified within the Specialty Areas listed below. Click to view Specialty Area details within the interactive National Cybersecurity Workforce Framework.

Feedback

If you would like to provide feedback for this course, please e-mail the NICCS SO at NICCS@hq.dhs.gov.