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NVIDIA Certified Professional: Generative AI LLMs (NCP GENL)

From NVIDIA Certification and Deep Learning Institute

Go to the official page ↗Direct official link

What you'll learn

You prove you can design, train and fine tune LLMs using distributed training, optimize them with GPU acceleration, then deploy, evaluate and monitor them in production with attention to safety and compliance.

  • Prompt engineering
  • Model optimization
  • Fine tuning
  • GPU acceleration and optimization
  • Model deployment

Source: the provider's official page ↗

Is this right for you?

Level
Intermediate People with some experience who want to go further or prove what they know.
What you get
A certification employers can verify, made for the top of your résumé and your LinkedIn profile.
How you learn
Online, self paced, about 120 min.
How to use it
Put it at the top of your résumé and under Licenses and certifications on LinkedIn, with the verification link so hirers can confirm it in seconds. Name it in every application that uses this skill, and send it straight to recruiters and hiring managers.
Why it's worth it
Proof you can use the exact tools employers run every day, straight from the company that makes them. One of the strongest signals you can send for any role that uses this platform.
What you will pay$200Upfront cost. Full details below.
Time
120 minutes, 60 to 70 questions.
Before you start
NVIDIA recommends 2 to 3 years of practical AI/ML experience working with LLMs (transformers, fine tuning, RAG, evaluation, performance profiling).
How you are tested
Online, remotely proctored via Certiverse.
Renewal
Valid 2 years from issuance; recertify by retaking the exam.
Full cost details
$200 exam fee (US site).
Where it applies
International; English only.

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Checked at the source Oct 13, 2026
Sources and what we verifiedNVIDIA NCP GENL page: $200, 120 min, recommended experience ↗NVIDIA certification catalog: codes, prices, durations ↗

What we verified: The page's registration button read 'Coming soon' on Oct 13, 2026; confirm registration is open.

Fees and eligibility can change. Confirm current terms with the issuer before you pay.

Also listed for: AI & Machine Learning Engineer