AI and Security

Inquire now

AI and Security equips IT professionals, cybersecurity teams, and business leaders with the knowledge and practical skills to leverage artificial intelligence for threat detection, risk management, data protection, and building secure AI-powered systems.

 

Duration 5 Days – 35 hrs.

 

Overview

The Virtualization & Infrastructure Training Course is designed to provide participants with a strong foundation in modern IT infrastructure, virtualization technologies, server management, storage, networking, and infrastructure operations. The course introduces how organizations use virtualization to optimize hardware resources, improve system availability, simplify IT management, and support scalable business operations.

Participants will learn the key concepts of virtualization, hypervisors, virtual machines, virtual networking, storage allocation, resource management, backup, monitoring, and basic troubleshooting. The course is suitable for IT professionals who want to build or strengthen their knowledge in managing virtualized infrastructure environments.

 

Objectives 

  • Understand the fundamentals of IT infrastructure and virtualization.
  • Explain the benefits and use cases of virtualization in enterprise environments.
  • Identify the components of a virtualized infrastructure.
  • Understand the role of hypervisors, virtual machines, virtual networks, and virtual storage.
  • Learn how to provision and manage virtual machines.
  • Understand resource allocation for CPU, memory, storage, and network resources.
  • Apply basic virtual infrastructure administration and monitoring practices.
  • Understand backup, recovery, availability, and disaster recovery concepts.
  • Perform basic troubleshooting of virtual machines and infrastructure issues.
  • Recognize best practices for securing and managing virtualized environments.

 

Target Audience 

  • IT Support Staff
  • System Administrators
  • Network Administrators
  • Infrastructure Engineers
  • Data Center Support Personnel
  • Technical Support Engineers
  • IT Operations Staff
  • Helpdesk or Service Desk Personnel moving into infrastructure roles
  • Junior IT Professionals who want to understand virtualization and infrastructure management

 

Prerequisites 

  • Basic knowledge of computer systems and operating systems
  • Basic understanding of networking concepts such as IP addressing, DNS, DHCP, and routing
  • Familiarity with server hardware or IT support operations is helpful
  • No advanced virtualization experience is required

 

Course Outline

Day 1: Fundamentals of IT Infrastructure and Virtualization 

Module 1: Introduction to IT Infrastructure 

  • Overview of modern IT infrastructure
  • Physical servers, storage, networking, and operating systems
  • Traditional infrastructure vs. virtualized infrastructure
  • Common infrastructure roles in organizations
  • Data center and cloud infrastructure concepts

 Module 2: Introduction to Virtualization 

  • What is virtualization?
  • Purpose and benefits of virtualization
  • Server consolidation and resource optimization
  • Virtualization use cases in business environments
  • Virtualization vs. cloud computing
  • Common virtualization platforms and technologies

 Module 3: Core Virtualization Concepts 

  • Hypervisors and their role
  • Type 1 vs. Type 2 hypervisors
  • Virtual machines
  • Guest operating systems
  • Host machines
  • Virtual hardware
  • Virtual machine files and configuration components

 

Day 2: Virtual Machines, Compute, and Resource Management 

Module 4: Virtual Machine Provisioning 

  • Creating virtual machines
  • Selecting guest operating systems
  • Assigning virtual CPU, memory, disk, and network resources
  • Installing operating systems on virtual machines
  • Understanding templates and cloning
  • Basic VM lifecycle management

 Module 5: Compute Resource Management 

  • CPU allocation and scheduling
  • Memory allocation and reservation
  • Resource limits and shares
  • Overcommitment concepts
  • Performance impact of improper resource allocation
  • Best practices in VM sizing

 Module 6: Virtual Machine Administration 

  • Starting, stopping, restarting, and suspending VMs
  • VM snapshots and checkpoints
  • VM migration concepts
  • VM tools and guest integration services
  • Managing virtual machine settings
  • Common VM administration tasks

 

 Day 3: Virtual Networking and Virtual Storage 

Module 7: Virtual Networking Fundamentals 

  • Overview of physical and virtual networking
  • Virtual switches
  • Port groups and network segments
  • VLAN concepts in virtual environments
  • VM network adapters
  • IP addressing for virtual machines
  • Network connectivity troubleshooting

 Module 8: Virtual Storage Fundamentals 

  • Physical storage vs. virtual storage
  • Datastores and storage pools
  • Virtual disks
  • Thin provisioning vs. thick provisioning
  • Storage performance considerations
  • Common storage technologies: DAS, NAS, SAN
  • Storage capacity planning basics

 Module 9: Infrastructure Connectivity 

  • Connecting compute, storage, and network components
  • Understanding infrastructure dependencies
  • Common connectivity issues
  • Basic troubleshooting approach
  • Infrastructure documentation and diagrams

 

Day 4: Availability, Backup, Security, and Monitoring 

Module 10: High Availability and Business Continuity

 Availability concepts in virtual infrastructure

  • Host failure and VM recovery
  • Clustering concepts
  • Live migration overview
  • Fault tolerance concepts
  • Disaster recovery fundamentals
  • Recovery Point Objective and Recovery Time Objective

 Module 11: Backup and Recovery 

  • Importance of backup in virtual environments
  • VM-level backup concepts
  • Snapshot vs. backup
  • Backup scheduling and retention
  • Recovery testing
  • Common backup mistakes
  • Best practices for backup and restore

 Module 12: Security in Virtualized Infrastructure 

  • Security risks in virtual environments
  • Securing hypervisors and management consoles
  • Access control and role-based permissions
  • Network segmentation
  • Patch management
  • Secure configuration practices
  • Logging and audit considerations

 Module 13: Monitoring and Performance Management 

  • Infrastructure monitoring overview
  • Key metrics for CPU, memory, storage, and network
  • VM performance monitoring
  • Host performance monitoring
  • Capacity planning
  • Alerts and event management
  • Common performance bottlenecks

 

Day 5: Infrastructure Operations, Troubleshooting, and Best Practices 

Module 14: Virtual Infrastructure Operations 

  • Daily administration tasks
  • VM inventory management
  • Change management basics
  • Patch and update management
  • Documentation and asset tracking
  • Infrastructure maintenance planning

 Module 15: Troubleshooting Virtual Infrastructure 

  • Troubleshooting methodology
  • Common VM issues
  • Common host issues
  • Common storage issues
  • Common network issues
  • Performance troubleshooting
  • Incident escalation and documentation

 Module 16: Infrastructure Best Practices 

  • VM naming standards
  • Resource allocation guidelines
  • Snapshot management best practices
  • Backup and recovery best practices
  • Security and access management practices
  • Monitoring and alerting recommendations
  • Capacity planning and optimization

 Module 17: Practical Case Study / Workshop 

  • Review of a sample virtual infrastructure environment
  • Identify infrastructure components
  • Analyze common issues
  • Recommend improvements
  • Group discussion and presentation
  • Action planning for workplace application

Optional Hands-On Activities 

Depending on the available lab environment, the course may include:

  • Creating and configuring virtual machines
  • Installing a guest operating system
  • Assigning CPU, memory, disk, and network resources
  • Configuring virtual networking
  • Creating snapshots
  • Monitoring VM performance
  • Simulating basic troubleshooting scenarios
  • Reviewing backup and recovery procedures

 

Inquire now

Best selling courses

CLOUD COMPUTING

Terraform

Terraform is a configuration orchestration tool for building and managing infrastructure on cloud & data centers. The course is instructor-led, live training (onsite or remote), and is designed for Engineers with little or no previous experience managing infrastructure. The course talks about in-depth Terraform syntax and techniques used to automate the setup and deployment of infrastructure.

Duration  3 days – 21 hrs    Overview    The ITIL Leadership – Digital and IT Strategy training course is designed for senior IT professionals, managers, and leaders who seek to navigate the complex landscape of digital transformation and IT strategy. This course focuses on providing strategic insights, leadership skills, and practical approaches for aligning...

PROGRAMMING / CODING

Spring Architecture and Design

Spring Cloud is a platform for building Java-based distributed systems and microservices. Building complex enterprise applications is challenging. Any change made to a part of the systems could trigger the need for changing the design of the entire system. By the end of this training, participants will have a solid understanding of Service-Oriented Architecture (SOA) and Microservice Architecture as well practical experience using Spring Cloud and related Spring technologies for rapidly developing their own cloud-scale, cloud-ready microservices.

BUSINESS INTELLIGENCE

Dax

Duration 5 days – 35 hrs   Overview The DAX (Data Analysis Expressions) Training Course is designed to provide participants with a comprehensive understanding of DAX, the powerful formula language used in Power BI, Excel, and SQL Server Analysis Services. This course covers the essential concepts, functions, and techniques required to create advanced calculations and...

OPERATING SYSTEMS

Linux Fundamentals

Linux Fundamental provides students a thorough introduction to Linux™ for those who are new to the Linux environment. Delegates will learn how to manage files and directories, utilize the vi editor, work with Linux security mechanisms to protect files and programs, work with the Linux shell to control the flow and processing of data through pipelines, design and write shell programs of moderate complexity, and manage multiple concurrent processes in order to achieve higher utilization of Linux. They will learn how to perform basic operations on the system and how quickly to solve problem.

PROGRAMMING / CODING

Google Apps Script

The Google Apps Script training course give you a detailed knowledge on coding like Automating data calculation, Fetching and sending data from third party software like Trello & Salesforce, connecting different sheets, Documents and other tools, Setting a trigger based on an event. This course is ideal for someone who use google sheets and have no coding background.

This workshop teaches the participants how to design and develop server side applications using the event-driven, non-blocking model framework Node.js. This program inducts the participant in some of the advanced concepts of the JavaScript language so that the participant is well equipped to build end-to-end application using JavaScript.

Duration: 3 days – 21 hrs   Overview This training course is designed to provide participants with a comprehensive understanding of Portfolio Management and Contract Management, focusing on best practices, tools, and techniques. The course covers the strategic alignment of projects within a portfolio, effective management of contracts, risk management, and optimization of resources to...

// BG EARTH WHEN NOT PLAYING

We use cookies on our website to personalize your experience by storing your preferences and recognizing repeat visits. By clicking “Accept”, you agree to the use of all cookies. You can also select “Cookie Settings” to adjust your preferences and provide more specific consent. Cookie Policy