Automation and Machine Learning from Skillsoft

Online, Self-Paced

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

Implementation and Operation

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):