NVIDIA-Certified Associate
AI in the Data Center
(NCA-AIDC)
About This Certification
The NCA-AIDC certification is an entry-level credential that validates the foundational concepts of adopting artificial intelligence computing by NVIDIA in a data center environment. The exam is online and proctored remotely, includes 50 questions, and has a 60-minute time limit.
Please carefully review NVIDIA's examination policy before scheduling your exam.
If you have any questions, please contact us here.
Topics Covered in the Exam
Topics covered in the exam include:
- Accelerated computing use cases
- AI, machine learning, and deep learning
- GPU architecture
- NVIDIA’s software suite
- Data center considerations for adopting NVIDIA solutions
Preparation Materials
We recommend the following steps to prepare for this exam.
Enroll in Self-Paced Training
Take the “Introduction to AI in the Data Center” self-paced course to learn what AI is and how NVIDIA GPU technologies and solutions take it to the next level. Designed for enterprise professionals and administrators, this course explores an introduction to AI, GPU computing, the NVIDIA AI software architecture, and how to implement and scale AI workloads in the data center. The typical time to complete this course is 3.5 hours.
Review These Additional Materials
The CUDA® Zone (reading time: 1 minute)
NVIDIA Triton™ Inference Server (reading time: 5 minutes)
NVIDIA® NGC™ Catalog (reading time: 6 minutes)
The Difference Between AI, Machine Learning, and Deep Learning (reading time: 6 minutes)
The Difference Between Deep Learning Training and Inference (reading time: 5 minutes)
How to Use GPUs for Robotic Development (reading time: 4 minutes)
Recommenders Systems (reading time: 5 minutes)
Accelerating and Enhancing Robotics With NVIDIA Isaac™ (reading time: 5 minutes)
Robotic Simulation With NVIDIA Isaac Sim™ (reading time: 5 minutes)
Inference Solutions for Video Analytics (reading time: 2 minutes)
Increase AI Productivity With Multi-Instance GPU (MIG) (reading time: 3 minutes)
The NVIDIA A100 Tensor Core GPU (reading time: 4 minutes)
GPU Communication Primitives With NCCL (reading time: 2 minutes)
GPT-3: A 175-Billion-Parameter Language Model (reading time: 3 minutes)
Advanced Multi-GPU Communications With NVIDIA NVLink® (reading time: 4 minutes)
NVIDIA RTX™—Visual Computing GPU for Workstations (reading time: 3 minutes)
Message Passing Interface (MPI) (reading time: 2 minutes)
What Is MLOps? (reading time: 7 minutes)
Deep Learning Frameworks (reading time: 5 minutes)
VMware vSphere Hypervisor Software Releases (reading time: 1 minute)
NVIDIA AI Enterprise (reading time: 3 minutes)
vGPU—Virtualization for IT (reading time: 3 minutes)
NVIDIA Data Center GPU Manager (DCGM) Overview (reading time: 2 minutes)
NVIDIA DCGM (reading time: 2 minutes)
Enhancing Data Movement With GPUDirect® (reading time: 3 minutes)
High-Speed End-to-End Connectivity With DPUs (reading time: 4 minutes)
What Is a DPU? (reading time: 4 minutes)
Cloud-Scale Architecture With DPUs (reading time: 9 minutes)
Transforming the Data Center With DPUs (reading time: 5 minutes)
NVIDIA DOCA™ Software Framework (reading time: 3 minutes)
DOCA—Data Center Infrastructure on a Chip (reading time: 3 minutes)
Stay Up to Date
Get training news, announcements, and more from NVIDIA, including the latest information on new self-paced courses, instructor-led workshops, free training, discounts, and more. You can unsubscribe at any time.
NVIDIA offers training and certification for professionals looking to enhance their skills and knowledge in the field of AI, accelerated computing, data science, advanced networking, graphics, simulation, and more.
Contact us to learn how we can help you achieve your goals.