Today we are introducing the Nutanix Certified Professional – Artificial Intelligence (NCP-AI) 7.5 Beta exam, designed to validate the skills required to deploy, configure, administer, monitor, troubleshoot, and maintain enterprise AI environments using Nutanix technologies. The exam measures a candidate’s ability to deploy and manage Nutanix Enterprise AI (NAI), configure AI services and endpoints, support large language model (LLM) workloads, monitor platform health, and integrate AI-powered applications into production environments.
The NCP-AI 7.5 Beta exam is intended for professionals with experience in virtual infrastructure, cloud native technologies, Kubernetes, and Linux administration. Successful candidates typically include IT and AI Administrators, ML Administrators, Engineers, Operations and DevOps Engineers, Developers, Support Engineers, Solution Architects, Cloud Engineers, Data Scientists, Data Engineers, System Integrators, and Value-Added Resellers (VARs). Candidates should also have foundational knowledge of virtual infrastructure, cloud services, GPUs, and Kubernetes administration concepts.
What Skills Are Measured?
The NCP-AI 7.5 Beta exam is organized around five key skill domains:
- Deploy Core Components
- Configure and Validate the Platform
- Perform Day 2 Operations
- Perform Operational Troubleshooting and Diagnostics
- Connect Applications
Candidates are expected to demonstrate knowledge of Nutanix Enterprise AI (NAI) 2.8, including platform deployment, user and security administration, model management, endpoint delivery, monitoring, troubleshooting, and AI application integration. The exam assesses practical skills required to operate enterprise AI environments securely and at scale.
Key skills include:
-
Preparing AI environments by validating deployment prerequisites, understanding NAI architecture, performing preflight checks, configuring storage, installing NAI in connected and air-gapped environments, and securing deployments with DNS, certificates, and TLS encryption.
-
Configuring and validating the platform through user onboarding and role-based access control, identity provider integration, importing large language models (LLMs), creating and managing AI endpoints, managing API keys, deploying MCP servers and AI gateways, and delivering AI services to consumers.
-
Performing Day 2 operations by connecting applications to NAI endpoints, monitoring endpoint performance and utilization, analyzing access activity and audit events, managing API consumption, optimizing inference performance, and selecting appropriate AI models, guardrails, embeddings, and reranking strategies.
-
Troubleshooting and diagnosing operational issues by monitoring infrastructure utilization, validating endpoint health, analyzing cluster health failures, troubleshooting model imports and endpoint creation issues, resolving connectivity problems, and identifying resource constraints involving CPU, memory, storage, and GPUs.
-
Connecting AI applications by integrating OpenAI-compatible APIs, validating application and endpoint configurations, enabling use cases such as chat, retrieval-augmented generation (RAG), and agent-based workflows, and monitoring performance metrics, latency, request volumes, and token consumption.
For complete exam details, review the NCP-AI 7.5 Exam Blueprint Guide.
NCP-AI 7.5 Beta Program
For a limited time, you can join the NCP-AI 7.5 beta program and be among the first professionals to take the updated certification exam. Beta participants help Nutanix validate exam content, scoring, and question quality to ensure the certification accurately measures real-world skills. Participation requires completing the full exam during the beta testing period. Candidates who successfully pass the beta exam will receive the NCP-AI certification once the exam has been finalized and released.
Register for the beta program in Nutanix University today using voucher code NCPAI75BETAFREE. Exam appointments are available through November 15, 2026, and participation is limited to 250 candidates. Register early, as the program is expected to fill quickly!
Note: If the NCP-AI 7.5 Beta Exam is not displayed on your My Certifications page, scroll to the bottom of the page and click "Missing Certifications/Exams?" to have the exam added to your account.
Recommended Training
To prepare for the NCP-AI 7.5 Beta exam, Nutanix recommends the Nutanix Enterprise AI (NAI) Administration (NAIA) course. The course aligns directly with the exam objectives and covers NAI deployment, Kubernetes platform selection and configuration, storage and services setup, model imports, endpoint management, API key administration, user management, monitoring, auditing, troubleshooting, and ongoing platform operations. Candidates should also have hands-on experience with Kubernetes, cloud-native environments, Linux administration, and AI infrastructure technologies.
👉 Learn more and enroll through Nutanix University.
As a beta participant, you'll help shape the future of the NCP-AI certification while demonstrating your ability to deploy and manage enterprise AI platforms powered by Nutanix Enterprise AI. It's an opportunity to validate your expertise in AI infrastructure operations and establish yourself as a trusted professional in the rapidly evolving field of enterprise generative AI.
©️️️️️2026 Nutanix, Inc. All rights reserved. Nutanix, the Nutanix logo and all Nutanix product, feature and service names mentioned herein are registered trademarks or trademarks of Nutanix, Inc. in the United States and other countries. Other brand names mentioned herein are for identification purposes only and may be the trademarks of their respective holder(s). This post may contain links to external websites that are not part of Nutanix.com. Nutanix does not control these sites and disclaims all responsibility for the content or accuracy of any external site. Our decision to link to an external site should not be considered an endorsement of any content on such a site. This post may contain express and implied forward-looking statements, which are not historical facts and are instead based on our current expectations, estimates and beliefs. The accuracy of such statements involves risks and uncertainties and depends upon future events, including those that may be beyond our control, and actual results may differ materially and adversely from those anticipated or implied by such statements. Any forward-looking statements included herein speak only as of the date hereof and, except as required by law, we assume no obligation to update or otherwise revise any of such forward-looking statements to reflect subsequent events or circumstances.