Pass your NVIDIA
AI certificationon the first attempt.

If you are new to AI, start with an Associate exam: NCA-GENL for generative AI and LLM fundamentals, or NCA-AIIO if you work closer to infrastructure and operations. Engineers with one to two years of hands-on production experience can go straight to a Professional exam such as NCP-AAI or NCP-GENL.

NCA (NVIDIA Certified Associate) exams validate foundational knowledge in 60-minute exams with roughly 50 to 60 questions. NCP (NVIDIA Certified Professional) exams validate production-level expertise in 120-minute exams with 60 to 75 questions, and they assume one to two years of hands-on experience.

Yes. NVIDIA certifications are valid for two years. To stay certified, you retake the current version of the exam before your certification expires.

All NVIDIA certification exams are delivered online with remote proctoring. Most exams use multiple-choice and multi-select questions, while NCP-AIO also includes hands-on lab exercises as part of the exam itself.

Combine official NVIDIA training from the Deep Learning Institute with realistic practice. Work through the official exam domains, drill practice tests until your scores are consistently strong, and use hands-on labs to build the applied skills that scenario questions test. Preporato covers every NVIDIA certification with practice tests, and adds flashcards, GPU labs and a full study guide for selected exams.

Access to a single certification, with all of its practice tests, costs $19.99 one time. The Pro subscription costs $29.99 per month, or $290 per year, and unlocks every practice test, GPU lab and flashcard deck on preporato.com across all certifications.

For engineers working on AI systems, yes. The NVIDIA stack runs most production AI infrastructure, and these certifications map directly to in-demand roles across cloud providers, finance, healthcare and autonomous systems. A certification signals to employers that you can operate the NVIDIA AI stack in production.