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Microsoft Azure Training

Azure for Researchers

Learn about AI, data concepts, and cutting-edge technologies. Train your team and excel in the ever-evolving world of research.

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Course Description

Azure for Researchers | Microsoft Azure Training

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to implement regulatory compliance controls as recommended by the Microsoft cloud security benchmark.

Candidates for this credential should be familiar with Azure infrastructure as a service (IaaS) and platform as a service (PaaS). They should have experience with security capabilities in Azure, along with a working knowledge of regulatory compliance standards.

About this Course

Module 1: Explore Data Concepts and Workloads 

  • What is Data? 
  • Describe Concepts of Relational Data 
  • Explore Concepts of Non-Relational Data 
  • Examine components of a modern data warehouse 
  • Artificial Intelligence in Azure 
  • Responsible Artificial Intelligence 
  • Azure Machine Learning 
  • Computer Vision Concepts 
  • Introduction to Continuous Integration & Continuous Deployment with Azure DevOps 
  • Introduction to Kubernetes 

Module 2: Data Engineering and Machine Learning 

  • What is Azure Data Factory 
  • Transforming data with the ADF Mapping Data Flow 
  • Triggering and Monitoring 
  • What is a Model? 
  • What are Pipelines? 
  • Azure Machine Learning Designer 
  • Register and Manage Datastores with Azure ML 
  • Create and Manage Datasets 
  • Managing Azure Databricks 
  • Azure Databricks Workspaces 
  • Storage Integration with Azure Databricks
  • KeyVault Integration 
 
  • Challenge 1: Create an Azure ML Workspace and Workflow using Diabetes Data 
  • Challenge 2: Use Azure ML Learning to interpret a model. 
  • Challenge 3: Detect and Mitigate Unfairness in Models 
  • Challenge 4: Monitoring for Data drift 
 

1 Day

Microsoft Azure

Research

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