NVIDIA Certifications Guide in English

NVIDIA Certifications Guide in English

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NVIDIA Certifications Guide in English

NVIDIA certifications cover AI infrastructure, AI operations, AI networking, generative AI, agentic AI, accelerated data science, and OpenUSD development. This guide compares the current certification routes and links each credential to its NVIDIA page.

This is an independent reference guide, not an NVIDIA page. Certification names, exam codes, availability, prices, languages, registration rules, and exam policies may change. Confirm current details on NVIDIA before registering.

In this guide

  1. NVIDIA certification overview
  2. Certification list
  3. Which NVIDIA certification should you choose
  4. NVIDIA certification paths
  5. Price, registration, and language support
  6. Associate vs Professional
  7. What is not included
  8. Preparation resources

1. NVIDIA certification overview

NVIDIA certifications are role-oriented credentials for technical learners working with accelerated computing, AI infrastructure, generative AI, data science, and OpenUSD workflows.

Use NVIDIA Certification Programs as the primary source for current credential availability.

2. Certification list

CodeCertificationLevelTrackNVIDIA page
NCA-ADSNVIDIA Accelerated Data Science Associate CertificationAssociateAccelerated data scienceNVIDIA
NCA-AIIONVIDIA AI Infrastructure and Operations Associate CertificationAssociateAI infrastructure and operationsNVIDIA
NCA-GENLNVIDIA Generative AI LLMs Associate CertificationAssociateGenerative AINVIDIA
NCA-GENMNVIDIA Generative AI Multimodal Associate CertificationAssociateGenerative AINVIDIA
NCP-AAINVIDIA Agentic AI Professional CertificationProfessionalAgentic AINVIDIA
NCP-ADSNVIDIA Accelerated Data Science Professional CertificationProfessionalAccelerated data scienceNVIDIA
NCP-AIINVIDIA AI Infrastructure Professional CertificationProfessionalAI infrastructure and operationsNVIDIA
NCP-AINNVIDIA AI Networking Professional CertificationProfessionalAI infrastructure and operationsNVIDIA
NCP-AIONVIDIA AI Operations Professional CertificationProfessionalAI infrastructure and operationsNVIDIA
NCP-GENLNVIDIA Generative AI LLMs Professional CertificationProfessionalGenerative AINVIDIA
NCP-OUSDNVIDIA OpenUSD Development Professional CertificationProfessionalOpenUSD and simulationNVIDIA

3. Which NVIDIA certification should you choose

GoalConsider
Starting with NVIDIA AI infrastructureNCA-AIIO
Professional AI infrastructure designNCP-AII
Production AI operationsNCP-AIO
AI networking and cluster connectivityNCP-AIN
Starting with LLMsNCA-GENL
Professional LLM systemsNCP-GENL
Multimodal generative AINCA-GENM
Agentic AI systemsNCP-AAI
Starting with accelerated data scienceNCA-ADS
Professional accelerated data scienceNCP-ADS
OpenUSD and Omniverse developmentNCP-OUSD

4. NVIDIA certification paths

TrackStart hereThen considerNotes
AI infrastructure and operationsNCA-AIIONCP-AII, NCP-AIO, NCP-AINInfrastructure, operations, and networking for AI systems.
Generative AINCA-GENL, NCA-GENMNCP-GENL, NCP-AAILLMs, multimodal AI, and agentic AI systems.
Accelerated data scienceNCA-ADSNCP-ADSGPU-accelerated analytics and machine learning workflows.
OpenUSD and simulationProduct and 3D workflow experienceNCP-OUSDOpenUSD, Omniverse, simulation, and 3D pipelines.

5. Price, registration, and language support

Price, registration process, remote or test center availability, language support, exam duration, and question count can change by exam and region. Open the exact NVIDIA certification page before registering.

NVIDIA certification pages are treated as English primary sources in this package. For the Traditional Chinese version, LoSimplifica uses zh-hant site pages but still links to NVIDIA English pages unless a localized NVIDIA certification page is verified.

6. Associate vs Professional

Associate credentials are entry or mid-level credentials focused on vocabulary, tool awareness, and role foundations. Professional credentials expect deeper hands-on judgment, architecture awareness, troubleshooting, and production context.

7. What is not included

This guide does not include every NVIDIA course, workshop, DLI lab, partner training option, or product-specific documentation page. It focuses on the certification pages and the reference links most useful for deciding a route.

8. Preparation resources