NVIDIA-Certified Professional
NVIDIA AI Infrastructure Certification Exam
(NCP-AII)
What is the NVIDIA AI Infrastructure Certification (NCP-AII)?
The NCP-AI Infrastructure certification is an intermediate-level credential that validates a candidate’s ability to deploy, configure, and validate advanced NVIDIA AI infrastructure.
Please carefully review our certification FAQs and exam policies before scheduling your exam.
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To access the exam, you’ll need to create a Certiverse account.
Who is AI Infrastructure Certification for?
This certification is for professionals who deploy, configure, validate, and maintain advanced AI infrastructure in complex, GPU-powered environments. It is ideal for those responsible for managing, troubleshooting, and optimizing AI systems throughout their lifecycle.
What are the Key Responsibilities of AI Infrastructure Professionals?
- Infrastructure Deployment:
Install, configure, and validate AI servers, networking, storage, and supporting hardware. - Platform and Cluster Management: Maintain operating systems, drivers, containers, cluster software, computing resources, user access, and workloads.
- Testing and Performance Validation: Conduct system checks, stress tests, and benchmarks to ensure reliability and performance.
- Troubleshooting and Optimization: Diagnose hardware and software issues, replace faulty components, and optimize system efficiency
- Monitoring, Security, and Scalability: Monitor system health and resource usage while ensuring secure, efficient, and scalable operations.
What are the Recommended Qualifications for AI Infrastructure Professionals Who Want to Take This Exam?
- Experience: 2–3 years of hands-on experience deploying, configuring, and validating GPU-based servers and AI clusters.
- Infrastructure Fundamentals: Understanding of data center networking, storage, power, cooling, cabling, and system bring-up.
- AI Infrastructure Technologies: Familiarity with NVIDIA GPUs, BlueField DPUs, firmware, drivers, operating systems, and cluster management tools.
- Cluster Operations: Experience monitoring cluster health, managing user access and workloads, and maintaining reliable AI infrastructure operations.
- Testing & Troubleshooting: Ability to validate cluster health and performance, check connectivity, and resolve hardware and software issues.
Certification Learning Path
NCP-AII Exam Preparation Topics and Recommended Reading
The information below is intended to help you prepare for this exam.
Topics covered, weight per topic, recommended training, and additional readings are provided.
Practice Questions
Explore sample questions to get familiar with the topics and question styles you may encounter on the certification exam.
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Validate your expertise. Whether you're deploying, managing, or troubleshooting AI networks, earning this certification showcases your skills and helps you stand out in a rapidly growing field.
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