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 |
Content Domain 1: Installation and Deployment (31% of scored content)
Topics Covered
Describe the Mission Control toolkit
NVIDIA Mission Control Software Administration Guide
Use BCM’s Base View interface to monitor cluster performance, resource utilization, and node health in real time.
NVIDIA Base Command Manager 11 Administrator Manual
Manage job scheduling and resource allocation using BCM’s workload manager (e.g., SLURM or Kubernetes)
NVIDIA Base Command Manager 11 Administrator Manual
NVIDIA Base Command Manager 11 Containerization Manual
Apply patches, update firmware, and synchronize software images across cluster nodes using BCM
NVIDIA Base Command Manager 11 Administrator Manual
NVIDIA Base Command Manager 11 Installation Manual
Administer user accounts, roles, and permissions to ensure secure access to the cluster using BCM
NVIDIA Base Command Manager 11 Administrator Manual
NVIDIA Mission Control Software Administration Guide
Configure and monitor network settings for cluster nodes, DPUs, and switches using BCM
NVIDIA Base Command Manager 11 Administrator Manual
NVIDIA Mission Control Software Administration Guide
Diagnose and resolve cluster issues, such as job failures, node outages, or resource bottlenecks, using BCM.
NVIDIA Base Command Manager 11 Administrator Manual
Use BCM to organize and configure compute nodes into categories based on hardware or workload requirements.
NVIDIA Base Command Manager 11 Administrator Manual
Using BCM, maintain documentation and generate reports on cluster usage, performance, and issues.
NVIDIA Base Command Manager 11 Administrator Manual
Install and initialize Kubernetes on NVIDIA hosts using BCM
NVIDIA Base Command Manager 11 Containerization Manual
Installing the NVIDIA GPU Operator
Deploy DOCA Services on DPU Arm
DOCA Container Deployment Guide
Install Run:ai
Run:ai Self-Hosted Installation
NVIDIA DGX BasePOD: Run:ai Deployment Guide
Install Slurm
NVIDIA Base Command Manager 11 Installation Manual
NVIDIA Base Command Manager 11 Administrator Manual
Content Domain 2: Administration (23% of scored content)
Topics Covered
Administer Slurm cluster.
NVIDIA Base Command Manager 11 Administrator Manual
Adding and Removing Nodes from Run:ai or Slurm
Describe data center architecture for AI Workloads
NVIDIA Mission Control Software Administration Guide
Administer Run:ai
The NVIDIA Run:ai Scheduler: Concepts and Principles
Administer Kubernetes
Installing the NVIDIA GPU Operator
NVIDIA Base Command Manager 11 Containerization Manual
Configure MIG
Content Domain 3: Workload Management (23% of scored content)
Topics Covered
Deploy inference workloads with Kubernetes
Deploy NVIDIA NIM for Object Detection on Kubernetes
Deploy inference workloads with Run:ai
Deploy Inference Workloads with Custom Server
Deploy Distributed Inference Workloads
Deploy training workloads with Slurm
NVIDIA Base Command Manager 11 Administrator Manual
NVIDIA Base Command Manager 11 Installation Manual
Deploy training workloads with Run:ai
Train Models Using a Distributed Training Workload
Train Models Using a Standard Training Workload
Use system management tools to troubleshoot issues
NVIDIA System Management (NVSM)
NVIDIA System Management User Guide
Allocate resources between teams with Run:ai, Slurm and Kubernetes
Adding and Removing Nodes from Run:ai or Slurm
Deploy containers from NGC
Deploy NGC Containers on Your Cloud Virtual Machine
DOCA Container Deployment Guide
Content Domain 4: Troubleshooting and Optimization (23% of scored content)
Topics Covered
Troubleshoot Docker
NVIDIA Container Toolkit Troubleshooting
Installing the NVIDIA Container Toolkit
Installing the NVIDIA GPU Operator
Troubleshoot the fabric manager service for NVLink and NVSwitch systems
Troubleshoot Base Command Manager
NVIDIA Base Command Manager 11 Administrator Manual
Troubleshoot Magnum IO components
Magnum IO Software Stack for Accelerated Data Centers
GPUDirect Storage Installation and Troubleshooting Guide
GPUDirect Storage Overview Guide
Troubleshoot storage performance
GPUDirect Storage Installation and Troubleshooting Guide
GPUDirect Storage Benchmarking and Configuration Guide
GPUDirect Storage Overview Guide
Troubleshoot the deployment of a container from NGC
NVIDIA Container Toolkit Troubleshooting
DOCA Container Deployment Guide
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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