---
url: "https://xcademia.com/courses/nutanix-ncp-training"
title: Nutanix NCP Training
description: " Learn Nutanix HCI with this 4-day NCP training. Master Prism, cluster management, storage, AHV, and data protection."
publishedAt: "2026-03-20T11:47:45.460682+00:00"
updatedAt: "2026-03-30T22:50:53.7265+00:00"
type: course
code: "ITF-0110"
level: Professional
duration_days: "4"
track: "Virtualisation & Cloud Foundations"
category: "IT Foundations & Tech Support"
credential_tier: tier1
price_gbp: "1999"
---

# Nutanix NCP Training

> Learn Nutanix HCI administration aligned with NCP certification objectives. Gain hands-on experience with Prism, cluster management, storage, and data protection.

## Overview

This Nutanix NCP Training programme is designed for IT professionals aiming to build expertise in hyperconverged infrastructure (HCI) using Nutanix technologies. Aligned with Nutanix Certified Professional (NCP) objectives, the course provides a practical and structured approach to managing modern data centre environments.

Through mentor-led sessions and hands-on labs, learners will manage Nutanix clusters, configure storage policies, and administer virtual machines using AHV. The course also covers Prism interface operations, data protection strategies, and system monitoring, ensuring a complete understanding of Nutanix environments.

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

## Prerequisites

- Basic understanding of virtualisation concepts
- Familiarity with networking and storage fundamentals
- Experience with IT infrastructure environments (recommended)

## What you will learn

- Design and manage HCI environments
- Implement storage and virtualisation solutions
- Analyse system performance and health
- Evaluate data protection strategies
- Manage networking and security configurations
- Troubleshoot and maintain Nutanix clusters

## Skills you will gain

- Nutanix AOS and AHV administration
- Storage policies and optimisation
- Cluster and resource management
- Virtual machine lifecycle management
- Data protection and disaster recovery
- System monitoring and troubleshooting

## Career progression

- Virtualisation Engineer
- Infrastructure Engineer
- Cloud Engineer
- System Administrator
- 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 NCP certification?**

Yes, it is aligned with Nutanix NCP certification objectives.



**Do I need prior Nutanix experience?**

Basic knowledge of virtualisation and infrastructure is recommended.



**Are hands-on labs included?**

Yes, extensive hands-on 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-0110 |
| Duration | 4 days |
| Level | Professional |
| Track | Virtualisation & Cloud Foundations |
| Category | IT Foundations & Tech Support |
| Credential tier | tier1 |
| Price (GBP) | £1999 |

---

## About this content

This Markdown course profile is the citation-grade twin of [Nutanix NCP Training](https://xcademia.com/courses/nutanix-ncp-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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