---
url: "https://xcademia.com/courses/vmware-vcp-dcv-training"
title: "VMware VCP-DCV Training"
description: "Master VMware vSphere 8 with this 5-day VCP-DCV training. Learn VM management, storage, networking, HA, DRS, and security."
publishedAt: "2026-03-20T11:34:42.140358+00:00"
updatedAt: "2026-03-30T22:50:53.7265+00:00"
type: course
code: "ITF-0108"
level: Professional
duration_days: "5"
track: "Virtualisation & Cloud Foundations"
category: "IT Foundations & Tech Support"
credential_tier: tier1
price_gbp: "2499"
---

# VMware VCP-DCV Training

> Master VMware vSphere 8 administration aligned with VCP-DCV certification objectives. Learn through mentor-led sessions covering resource management, storage, networking, and security.

## Overview

This VMware VCP-DCV Training programme is designed for IT professionals looking to build advanced virtualisation skills using VMware vSphere 8. Aligned with VCP-DCV certification objectives, the course provides a structured and practical approach to managing virtual data centre environments.

Through mentor-led sessions and hands-on labs, learners will configure and manage ESXi hosts, vCenter Server, virtual machines, and resource pools. The course also covers storage, networking, security, and system upgrades, ensuring participants gain comprehensive knowledge of enterprise virtual infrastructure.

By the end of this programme, participants will be able to manage, optimise, and secure VMware environments efficiently. This course prepares learners for roles in virtualisation, infrastructure management, and cloud operations, as well as progression toward VMware certification.

## Prerequisites

- Basic understanding of virtualisation concepts
- Experience with operating systems and networking
- Familiarity with data centre environments (recommended)

## What you will learn

- Design and manage virtual infrastructure environments
- Implement resource allocation and optimisation strategies
- Analyse system performance and availability
- Evaluate storage and networking configurations
- Manage security and access controls
- Troubleshoot and maintain VMware environments

## Skills you will gain

- VMware vSphere 8 administration
- Virtual machine lifecycle management
- Resource and performance management
- Storage and networking configuration
- High availability and DRS
- Infrastructure security basics

## Career progression

- Virtualisation Engineer
- System Administrator
- Infrastructure Engineer
- Cloud Engineer
- Data Centre Engineer

## Curriculum

1. **Module 1**
2. **Module 2**
3. **Module 3**
4. **Module 4**

## Exam & certification

## Delivery options

- **Live Online** — Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- **Onsite Training** — We come to you. Training delivered at your workplace for teams of 6 or more.
- **Venue-Based** — Classroom training at a professional venue. Ideal for focused, immersive learning.
- **Blended** — Combine online and in-person learning for maximum flexibility and impact.

## Frequently asked questions

**Is this course aligned with VCP-DCV certification?**

Yes, it is aligned with VMware VCP-DCV certification objectives.



**Do I need prior VMware experience?**

Basic knowledge of virtualisation and IT infrastructure is recommended.



**Are hands-on labs included?**

Yes, extensive practical labs are included throughout the course.



**Does this course need an exam?**

No, the exam is optional and can be taken separately.



**What roles can I pursue after this course?**

Roles include Virtualisation Engineer, Cloud Engineer, and Infrastructure Engineer.

## Course at a glance

| Field | Value |
| --- | --- |
| Code | ITF-0108 |
| Duration | 5 days |
| Level | Professional |
| Track | Virtualisation & Cloud Foundations |
| Category | IT Foundations & Tech Support |
| Credential tier | tier1 |
| Price (GBP) | £2499 |

---

## About this content

This Markdown course profile is the citation-grade twin of [VMware VCP-DCV Training](https://xcademia.com/courses/vmware-vcp-dcv-training). It is published by **Xcademia** (UK Companies House 12322710) and is available for AI search engines and large language models to index, summarise, and cite.

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