Program profile · official sources

NVIDIA-Certified Professional: AI Infrastructure (NCP-AII)

The NVIDIA-Certified Professional: AI Infrastructure (NCP-AII) is an intermediate-level credential for data center, infrastructure, network, storage, and system administrators, as well as solution architects. It validates the candidate's ability to deploy, configure, and troubleshoot NVIDIA AI infrastructure. To earn the credential, individuals must pass an online, remotely proctored exam hosted on Certiverse. The exam costs $400, consists of 70 to 75 questions (the source states both "approximately 70" and "70-75"), and has a 120-minute time limit. Prerequisites include two to three years of operational experience deploying infrastructure for AI workloads using NVIDIA hardware. The certification remains valid for two years from issuance, with recertification requiring candidates to retake the exam. Successful participants receive a digital badge and an optional certificate.

Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.

Price
USD 400USD 400 for one exam attempt, normalized from the dollar amount on NVIDIA's official US page; taxes, preparation and repeat attempts are separate.
Duration
120 minutes for the exam assessmentnot preparation time
Level
Professional
Format
Online, remotely proctored certification exam
Credential
NVIDIA Certification
Prerequisites
Two to three years of operational experience working in a data center with NVIDIA hardware solutions. The candidate should be able to deploy all the parts of a data center infrastructure in support of AI workloads.

What’s covered

  • Install and configure servers & networks
  • Physical layer management
  • Troubleshoot and optimize systems and networks

Prerequisites: Two to three years of operational experience working in a data center with NVIDIA hardware solutions. The candidate should be able to deploy all the parts of a data center infrastructure in support of AI workloads.

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What are the prerequisites and target audience for the NCP-AII certification?

NVIDIA lists two to three years of operational experience in a data center using NVIDIA hardware and the ability to deploy all parts of infrastructure supporting AI workloads. The intended audiences include data-center, infrastructure, network, storage and system administrators, network engineers and solution architects. The page separately presents a self-paced fundamentals course and a multi-day professional workshop as preparation resources; it does not state that either course is required or name a prior certification requirement.

What is the format, cost, and validity of the certification exam?

The page lists a USD 400 online, remotely proctored exam with 70-75 questions and a 120-minute sitting time; its overview separately says approximately 70 questions. English is the listed language, and a Certiverse account is needed for access. The certification is valid for two years from issuance, and recertification may be achieved by retaking the exam. Passing participants receive a digital badge and an optional certificate. The source does not publish a numeric passing score or retake fee.

Which technical topics are covered in the NCP-AII exam blueprint?

The exam blueprint divides the assessment into five main technical domains. The largest segments are Cluster Test and Verification at 33%, and System and Server Bring-up at 31%. Control Plane Installation and Configuration accounts for 19%, covering tasks like OS installation and NVIDIA driver updates. Troubleshooting and Optimizing hardware faults and performance makes up 12%. Finally, Physical Layer Management accounts for 5%, including the configuration of BlueField network platforms and MIG for AI and HPC. Test-takers will answer questions on deploying and validating sequences, managing physical connections, cluster burn-ins, executing performance optimizations, and managing container toolkits.

What you actually do

  • System and Server Bring-up — Exam domain; 31%. · Source
  • Physical Layer Management — Exam domain; 5%. · Source
  • Control Plane Installation and Configuration — Exam domain; 19%. · Source
  • Cluster Test and Verification — Exam domain; 33%. · Source
  • Troubleshoot and Optimize — Exam domain; 12%. · Source

What the credential is

Credential type
NVIDIA Certification · Source
Credential
NVIDIA-Certified Professional: AI Infrastructure · Source
Issuer
NVIDIA · Source
Sharing
Digital badge and optional certificate after passing. · Source
Expiry and renewal
Valid for two years from issuance; recertification by retaking the exam. · Source
Exam requirement
Pass the certification exam; passing threshold is not stated. · Source
Exam required
Yes · Source
Credential expires
Yes · Source
Renewal
Retake the exam. · Source

Total cost to finish

Estimate for the stated payment scope: USD 400 × 1 = USD 400.

  • One certification exam attempt: USD 400 × 1 = USD 400. One exam registration; not preparation cost or a guarantee of passing. · Source

Scope: USD 400 for one exam attempt, normalized from the dollar amount on NVIDIA's official US page; taxes, preparation and repeat attempts are separate. · Source

Retakes: Repeat-attempt cost is not established in the reviewed sources. · Source

Who should skip it

  • Professionals lacking two to three years of operational experience working in a data center with NVIDIA hardware solutions. · Source
  • Individuals who are not yet capable of deploying all components of a data center infrastructure in support of AI workloads. · Source
  • Learners seeking a foundational or beginner-level certification, as this credential is characterized as intermediate-level. · Source

Alternatives in the registry

Related by topic or level.

  • AWS Certified Generative AI Developer - Professional (AIP-C01) — USD 300 (USD 300 for one attempt; foreign-exchange rates, regional pricing, taxes, optional preparation and repeat attempts are separate.); 180 minutes for the exam assessment; not preparation time.
  • Databricks Certified Machine Learning Professional — USD 200 (USD 200 for one attempt plus applicable taxes under local law; optional preparation and repeat attempts are separate.); 120 minutes for the exam assessment; not preparation time.
  • Professional Machine Learning Engineer — USD 200 (USD 200 for one certification exam registration/attempt, plus applicable tax. Optional preparation and repeat-attempt costs are separate. Currency is explicitly stated by the first-party Spanish localization.); 2 hours for the exam assessment; not preparation time.

Change log

  • : Initial recorded review of official exam, scope, price and credential facts. · Source
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