NVIDIA AI Infra & Ops Associate

Service Description

The NVIDIA AI Infrastructure & Operations Associate Certification is focused on helping you understand and manage the hardware, software, and workflows that support scalable AI systems. While it doesn’t teach you how to build AI models directly, it provides essential knowledge for deploying, optimizing, and maintaining AI at scale—a critical aspect of modern AI workflows. This certification and training is designed to empower you with the following - 1. The role of GPUs, DPUs, and network fabrics (like NVIDIA NVLink, InfiniBand) 2. How to architect data center or cloud infrastructure for AI workloads 3. The difference between training vs. inference hardware needs This Essential Certification from NVIDIA will help you understand the following - 1. Combine text inputs with images or videos in prompts (e.g., “describe this image” or “generate an image from caption”) 2. Use RAG + vision + speech models in the same workflow 3. Preprocess and align multi-source data for training/fine-tuning This Essential Certification from NVIDIA introduces you to AI/ML services including - NVIDIA DGX systems for multi-GPU AI training NVIDIA Base Command & Fleet Command for remote AI system management NVIDIA AI Enterprise software stack, including CUDA, Triton Inference Server, and RAPIDS You are empowered to understand how AI is applied in real-world scenarios - 1. Setting up multi-node distributed training environments 2. Monitoring AI jobs and managing GPU scheduling and resource allocation 3. Model deployment, containerization (with NVIDIA NGC), and MLOps support 4. Data security, user access control, and model isolation 5. Performance tuning for training and inference workloads 6. Managing storage, latency, and throughput bottlenecks 7. Understand the hardware/software needs of data scientists and ML engineers 8. Support environments for LLM training, GenAI pipelines, and deep learning projects 9. Facilitate smooth transitions from dev → test → prod This certification empowers you on how to design, deploy, manage, and optimize AI infrastructure, essential for supporting large-scale AI and LLM deployments. Category - Intermediate Exam duration 60 minutes Link for Exam Registration - https://www.certiverse.com/#/checkout/nvidia/store-exam/ Exam format - 50 -60 questions Certification Exam Cost - 125 USD Exam Format - Online How Does Karamchaari.ai help you Vs. Others - 1. Train & prepare to certify you with practical knowledge