Name: NCA‑AIIO SoAI‑Certified Associate: AI Infrastructure & Ops
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What You'll Learn

Learn how GPUs accelerate AI workloads and master the architecture of Tensor Cores, Streaming Multiprocessors (SMs), NVLink, and MIG for efficient computing.
Understand the full AI lifecycle: from model development and training to deployment, monitoring, and scaling across enterprise infrastructure.
Gain hands-on experience using DCGM, NGC, Triton Inference Server, and Helm Charts to deploy and monitor real AI workloads in simulated environments.
Explore GPU-accelerated storage, RDMA, GPUDirect, and compare networking standards like InfiniBand vs Ethernet for optimal AI performance.
Work with vGPUs, multi-tenant deployments, DPUs, and the DOCA SDK to support secure, scalable, and software-defined AI infrastructure.
Prepare to pass the NCA-AIIO exam with a full-length mock test, flashcards, exam tips, and a readiness checklist tailored to NVIDIA’s official blueprint.

Requirements

IT professionals and system administrators managing data center hardware and infrastructure
DevOps and Cloud Engineers looking to deploy, scale, and monitor GPU-accelerated AI workloads
Machine Learning Ops (MLOps) teams aiming to bridge the gap between AI models and infrastructure
AI/ML enthusiasts or beginners seeking a structured entry point into AI infrastructure management
Students or career switchers preparing for the NVIDIA-Certified Associate: AI Infrastructure and Operations (NCA-AIIO) exam
Technical teams in enterprise IT, cloud-native operations, or AI engineering roles needing hands-on NVIDIA ecosystem experience

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An experienced instructor with expertise in this field and a passion for teaching.

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