NVIDIA AI Infrastructure Professional

Service Description

The NVIDIA AI Infrastructure Professional Certification is an advanced-level credential that validates your expertise in designing, deploying, and managing large-scale AI infrastructure using NVIDIA’s hardware, software, and enterprise platforms. It provides critical foundational knowledge to run AI workloads efficiently at enterprise scale—which is essential in modern AI operations. This certification and training is designed to empower you with the following - 1. How to architect and optimize GPU-based AI compute environments 2. When to use NVIDIA DGX, HGX, or Grace Hopper systems 3. How NVIDIA networking (InfiniBand, NVLink) impacts distributed AI training performance This Essential Certification from NVIDIA will help you understand the following - 1. AI data prep, training, inference, and monitoring infrastructure 2. High-speed storage systems tuned for AI model loading and dataset streaming 3. Real-world deployments of multi-node, multi-GPU AI clusters This Essential Certification from NVIDIA introduces you to AI/ML services including - Enterprise AI workloads across hybrid and on-premises environments Containerized AI applications using NVIDIA NGC (NVIDIA GPU Cloud) Platforms like NVIDIA Base Command, Fleet Command, and AI Enterprise Suite You are empowered to understand how AI is applied in real-world scenarios - 1. Secure GPU clusters and training pipelines 2. Optimize energy, latency, and throughput for responsible AI infrastructure 3. Implement role-based access control (RBAC) and model governance 4. Large-scale training of transformer models and diffusion models 5. Real-time inference at the edge or in cloud environments 6. Fine-tuning and serving of multimodal GenAI pipelines This certification empowers you with the expertise to build and manage large-scale AI systems, especially those powering LLMs, GenAI, deep learning, and real-time AI apps. It’s ideal if you're in or moving toward roles like AI platform engineering, AI DevOps, or enterprise AI architecture. Category - Advanced Exam duration 90 minutes Link for Exam Registration - https://www.certiverse.com/#/checkout/nvidia/store-exam/NCA-GENL Exam format - 60 -70 questions; either multiple choice or multiple response Certification Exam Cost - 400 USD Exam Format - Online Karamchaari.ai Exam Pass Success Rate - 100% in Your 1st Attempt