Disclaimer: This course is not affiliated with or endorsed by NVIDIA. NVIDIA and CUDA are trademarks of NVIDIA Corporation.

Additional Material

1. Study Material [PDF]: Before you begin, download the 170-page PDF file (Newly Released) provided under the Resources link in the first question of the first practice paper. This latest, updated document contains essential reference material you will need throughout the course to maximize your learning and ensure you are preparing with the most current certification content.

2. Interview Questions & Answers [PDF]: Please download additional 200+ Interview questions and answers for the Snowflake Core. You must go through all these interview questions before your real certification exam as well as before your interview process. To download the same please go through Question-1 resources section in Practice Paper-1.

3. Interview Questions & Answers (Audio Book – 2 Hr 30 Mins): Listen and learn on the go with the audiobook version of interview questions and answers. The download link is provided in the Resources section of Question 1.

Important Note: Please go through the introduction video of this course. That video is imperative for your real exam and you understand the concepts discussed in video for your real exam. Also, it has brief instructions how to download above resources.

Prepare with confidence for the Certified Professional AI Operations (NCP-AIO) certification with this complete, exam-focused practice test and preparation course. This intermediate-level certification validates your ability to monitor, troubleshoot, and optimize powered AI infrastructure—skills that are critical for modern AI data center operations.

The NCP-AIO exam consists of 50 multiple-choice questions to be completed in 90 minutes and is priced at $400. This course has been designed to mirror the real exam format while providing you with deep conceptual understanding of AI operations, so you’re not just memorizing answers—you’re building the skills needed for success on the job.

Key areas covered in this course include:

Base Command Manager (BCM): Installation, configuration, troubleshooting, and AI infrastructure management.

• Slurm Cluster Administration: Workload scheduling, cluster provisioning, and performance optimization.

• Kubernetes Cluster Administration: Deploying and managing AI workloads in containerized environments.

• System Management Tools: Using DCGM, NVSM, and nvidia-smi for monitoring, diagnostics, and resource optimization.

• GPU, DPU, and MIG Configuration: Managing GPUs, BlueField DPUs, and Multi-Instance GPU technology for AI and HPC workloads.

• Networking for AI: Optimizing InfiniBand and Ethernet for high-performance AI cluster operations.

• Storage Optimization: Designing and managing AI-optimized storage solutions with DOCA on DPU-Arm.

• Troubleshooting & Optimization: Resolving issues in Docker, fabric manager, Magnum IO, BCM, and AI storage systems.

Why choose this course?

• 300 exam-style practice questions that replicate the difficulty and scope of the actual NCP-AIO certification exam.

• Detailed answer explanations to ensure you fully understand each concept.

• Up-to-date content aligned with latest AI infrastructure and operations best practices.

• Designed for working professionals—study anytime, anywhere, at your own pace.

Who is this course for?
This course is ideal for MLOps engineers, DevOps engineers, AI infrastructure engineers, cluster administrators, network and storage administrators, solution architects, and system architects who work with GPUs, DPUs, MIG technology, Kubernetes, Slurm, and NGC containers in AI environments. If you are aiming to pass the NCP-AIO certification and enhance your AI operations expertise, this course is for you.

By completing this course, you will:

• Master the tools, configurations, and workflows used in professional AI operations.

• Be able to troubleshoot and optimize-powered AI environments with confidence.

• Gain both exam readiness and job-ready skills for high-performance AI infrastructure management.

Enroll now and take the next step toward becoming a certified AI Operations professional, ready to excel in AI data center management, workload optimization, and infrastructure reliability.

Who this course is for:

• This course is designed for IT professionals, AI operations specialists, and data center engineers preparing for the -Certified Professional AI Operations (NCP-AIO) certification. It is ideal for anyone responsible for monitoring, troubleshooting, and optimizing powered AI infrastructure in enterprise or high-performance computing environments.
• MLOps Engineers managing AI pipelines, GPU clusters, and containerized workloads.
• DevOps Engineers deploying and maintaining AI applications in hybrid or cloud-native environments.
• Solution and System Architects designing AI data center architectures with GPUs and DPUs.
• AI Infrastructure Engineers handling compute, storage, and networking for AI workloads.
• Cluster Administrators managing Slurm, Kubernetes, and Base Command Manager (BCM) for AI.
• Network Engineers configuring InfiniBand, Ethernet, and NVLink for high-performance AI clusters.
• Storage Administrators optimizing AI-specific storage solutions and resource utilization.
• Technical Professionals seeking to validate their AI operations skills through certification.
• If you work with Base Command Manager, DGX systems, BlueField DPUs, Multi-Instance GPU (MIG), NGC containers, Kubernetes, Slurm, or Magnum IO, this course will prepare you to pass the NCP-AIO exam and enhance your AI data center operations expertise.