Virtualization and Deployment Models

4m 41s

Lesson Description 

This module introduces the key concept of virtualization and the role this plays in effectively delivering cloud services, before defining the four different cloud deployment models. 

Learning Objectives 

The objectives of this lesson are to provide you with and understanding of: 

  • what virtualization is and how it relates to cloud computing. 
  • the four cloud deployment models and the application of each model. 

Intended Audience 

The lesson is aimed at anybody who needs a basic understanding of what the cloud is, how it works and the important considerations for using it. 


Although not essential, before you complete this lesson it would be helpful if you have a basic understanding of server hardware components and what a data center is.  


We welcome all feedback and suggestions - please contact us at to let us know what you think. 

About the Author
Daniel Ives, opens in a new tab
Head of Learning - Cloud and Principal Technologist – Amazon Web Services
Learning paths

Daniel Ives has worked in the IT industry since leaving university in 1992, holding roles including support, analysis, development, project management and training.  He has worked predominantly with Windows and uses a variety of programming languages and databases.

Daniel has been training full-time since 2001 and with QA since the beginning of 2006.

Daniel has been involved in the creation of numerous courses, the tailoring of courses and the design and delivery of graduate training programs for companies in the logistics, finance and public sectors.

Previous major projects with QA include Visual Studio pre-release events around Europe on behalf of Microsoft, providing input and advice to Microsoft at the beta stage of development of several of their .NET courses.

In industry, Daniel was involved in the manufacturing and logistics areas. He built a computer simulation of a £20million manufacturing plant during construction to assist in equipment purchasing decisions and chaired a performance measurement and enhancement project which resulted in a 2% improvement in delivery performance (on time and in full).