Operating System Virtualization - Master's
Master OS virtualization: Learn hypervisors, VM management, and advanced virtualization concepts for IT professionals.
Master OS virtualization: Learn hypervisors, VM management, and advanced virtualization concepts for IT professionals.
This comprehensive course covers operating system virtualization, focusing on hypervisors, virtual machine (VM) environments, and industry-standard platforms. Students will gain practical knowledge in deploying various hypervisors and managing virtual environments. The course covers a wide range of topics including types of virtualization, host hardware considerations, VM creation and management, resource allocation, networking concepts, storage solutions, hypervisor clustering, and end-user computing with Virtual Desktop Infrastructure (VDI). Through hands-on exercises and real-world scenarios, learners will develop the skills to implement, manage, and optimize virtualized environments in modern data centers.
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What you'll learn
Understand hypervisors, virtualization terms, and infrastructure considerations
Deploy various hypervisors and virtual machine environments using industry-standard platforms
Identify appropriate use cases for different types of virtualization
Manage host hardware and data center infrastructure for virtualization
Create and manage virtual machines, including resource allocation and optimization
Implement networking solutions for virtualized environments
Skills you'll gain
This course includes:
522 Minutes PreRecorded video
43 quizzes and assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 9 modules in this course
This course provides a comprehensive exploration of operating system virtualization, designed for IT professionals seeking to master modern virtualization technologies. The curriculum is structured into nine modules, each focusing on crucial aspects of virtualization. Students begin with an introduction to hypervisors and virtualization concepts, then progress through host hardware considerations, virtual machine creation and management, resource allocation strategies, and advanced topics such as networking in virtual environments and storage solutions. The course also covers hypervisor clustering for high availability and fault tolerance, as well as end-user computing with Virtual Desktop Infrastructure (VDI). Throughout the program, learners gain hands-on experience with industry-standard tools and platforms, preparing them for real-world implementation of virtualization solutions. By the end of the course, students will have a thorough understanding of virtualization technologies and be equipped to design, implement, and manage virtualized environments in modern data centers.
Hypervisors
Module 1 · 8 Hours to complete
Host Hardware and Data Center Infrastructure
Module 2 · 7 Hours to complete
VM Creation and Management
Module 3 · 9 Hours to complete
CPU, Memory, and Consumables
Module 4 · 8 Hours to complete
Networking
Module 5 · 9 Hours to complete
Storage
Module 6 · 8 Hours to complete
Hypervisor Clusters
Module 7 · 8 Hours to complete
EUC and VDI End User Computing and Virtual Desktop Infrastructure
Module 8 · 8 Hours to complete
Summative Course Assessment
Module 9 · 3 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Expert in Data Networks and Virtualization at Illinois Tech
Philip Matuszak is an Adjunct Industry Associate Professor in the Information Technology and Management department at Illinois Tech. He teaches several courses, including "Introduction to Data Networks and the Internet" at both the Bachelor's and Master's levels, as well as "Operating System Virtualization" for both degree levels. These courses provide students with foundational knowledge in data networking concepts, internet technologies, and virtualization techniques, preparing them for careers in IT infrastructure and network management. Through a combination of theoretical instruction and practical applications, Professor Matuszak equips students with the skills needed to effectively design, implement, and manage modern data networks and virtualized operating systems.
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Frequently asked questions
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