NVIDIA-Certified Professional: AI Operations Preparation Details
The NVIDIA-Certified Professional: AI Operations (NCP-AIOL) exam validates your ability to monitor, troubleshoot, and optimize AI infrastructure built on Base Command Manager, Slurm, Kubernetes, and Run:ai. This guide maps every blueprint topic to official NVIDIA documentation for all four exam domains. You can also explore more NVIDIA certification study guides on the NVIDIA category page to keep building your skills.
NVIDIA-Certified Professional: AI Operations Materials
| Coursera | AI Infrastructure and Operations Fundamentals |
| Udemy | NVIDIA Certified Professional AI Operations NCP-AIO |
| Whizlabs | NVIDIA-Certified Professional: AI Operations |
Administration: Exam Weight 28%
Topics Covered
1.1 Administer Fleet Command.
1.2 Administer Slurm clusters.
1.3 Design data center architecture for AI workloads.
Data Center Solutions: AI Factories
Powering AI Factories with NVIDIA Enterprise Reference Architectures
1.4 Administer Run:ai.
Overview | Self-hosted | Run:ai Documentation
Welcome to NVIDIA Run:ai Documentation
1.5 Configure MIG for AI and HPC.
Workload Management: Exam Weight 20%
Topics Covered
2.1 Administer Kubernetes clusters.
2.2 Use system management tools such as DCGM, NVSM, and nvidia-smi to troubleshoot issues.
NVIDIA System Management User Guide
2.3 Administer BCM and cluster provisioning.
NVIDIA DGX SuperPOD: User Guide
Install and Deploy: Exam Weight 32%
Topics Covered
3.1 Install and configure BCM.
NVIDIA Base Command Manager 11 Installation Manual
3.2 Install and initialize Kubernetes on NVIDIA hosts using BCM.
3.3 Deploy containers from NGC.
Pulling and Running NVIDIA AI Enterprise Containers
3.4 Deploy cloud VMI containers.
3.5 Understand storage requirements for AI data centers.
3.6 Deploy DOCA services on DPU-Arm.
DOCA Container Deployment Guide
NVIDIA DOCA Software Framework
Troubleshooting and Optimization: Exam Weight 20%
Topics Covered
4.1 Troubleshoot Docker.
4.2 Troubleshoot the fabric manager service for NVLink and NVSwitch systems.
NVIDIA UFM Enterprise User Manual v6.23.1
NVIDIA HGX A100 Software User Guide
4.3 Troubleshoot Base Command Manager.
NVIDIA DGX SuperPOD: User Guide
4.4 Troubleshoot Magnum IO components.
Magnum IO Software Stack for Accelerated Data Centers
4.5 Troubleshoot storage performance.
Wrapping Up NVIDIA-Certified Professional: AI Operations
This guide covered all four AI Operations exam domains: Installation and Deployment, Administration, Workload Management, and Troubleshooting and Optimization, each mapped to official NVIDIA documentation for Base Command Manager, Slurm, Kubernetes, and Run:ai. With this reference in hand, you’re well prepared to tackle the NCP-AIOL exam’s multiple-choice questions and hands-on lab with confidence. You can also explore more NVIDIA certification study guides on the NVIDIA category page to keep building your skills. Have a question or tip? Leave a comment below.
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