NVIDIA NCA-AIIO Exam Prep: AI Infrastructure & Operations

This course contains the use of artificial intelligence.

Prepare for the NVIDIA-Certified Associate: AI Infrastructure and Operations (NCA-AIIO) exam with this fully rebuilt 2026 edition - now covering every official blueprint domain at its real weight (AI Infrastructure 40%, Essential AI Knowledge 38%, AI Operations 22%) plus two full-length practice tests with detailed explanations for every option.

You'll master the NVIDIA AI ecosystem (CUDA, NGC, NVIDIA AI Enterprise), GPU vs CPU architecture, DGX and HGX server platforms, NVLink and NVSwitch interconnects, InfiniBand vs Ethernet cluster networking, BlueField DPUs, storage for training workloads, MIG and vGPU multi-tenancy, capacity planning, and operations with Kubernetes, Slurm, Base Command, nvidia-smi, and DCGM. No GPU access required - labs are conceptual walkthroughs, architecture-diagram readings, and capacity-planning exercises any sysadmin can follow.

Instructor Aseem Mankotia walks you through the classic exam traps: training vs inference sizing, NVLink vs PCIe bandwidth reasoning, MIG vs vGPU use cases, and when Slurm fits better than Kubernetes. The final chapter is a complete 50-question exam simulation with a 90-minute time-management strategy. Built for IT professionals, sysadmins, and DevOps engineers entering AI infrastructure - no prior AI experience needed.

AI content disclosure: This course was produced with the assistance of artificial intelligence tools. Lecture narration is AI-voice generated, and lecture scripts, slides, and practice questions were drafted with AI assistance, then reviewed and curated by the instructor for technical accuracy and alignment with the official NCA-AIIO exam blueprint.