✦ Velza Academy · Free Self-Assessment

Where do you really stand on the NVIDIA-Certified Professional: Generative AI LLMs (NCP-GENL) exam?

Most people preparing for this exam study what feels familiar. The exam grades what the official blueprint weights. The free readiness scorecard shows you the difference in about five minutes.

Rate yourself topic by topic across every official exam domain
Your scores are weighted exactly the way the exam is, so a weak heavy domain jumps out first
Charts show your readiness per domain at a glance
Progress saves in your browser, so you re-score as you study and watch the gaps close

Built by Mike Wheeler, O’Reilly author, 500,000+ learners taught

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✦ Inside the scorecard

Your readiness, charted as you slide

Slide your honest rating for every topic and the picture updates live: readiness per domain, weighted study priorities, and the chart of where you stand.

The NVIDIA-Certified Professional: Generative AI LLMs readiness scorecard showing the domain chart, weighted study priorities, and topic sliders

The actual NCP-GENL scorecard, mid-assessment.

What the NCP-GENL exam actually is

These details come from NVIDIA's current certification page and linked study guide. Read the official exam page alongside this scorecard so you are working from the source.

What it is: An intermediate-level credential validating the ability to design, train, fine-tune, optimize, deploy, and evaluate large language models at scale.
Who it is for: Software developers and engineers, solution architects, machine learning engineers, data scientists, AI strategists, and generative AI specialists with practical LLM experience.
Questions: 60–70
Duration and delivery: 120 minutes; online with remote proctoring
Cost and validity: $200; valid for two years from issuance and renewable by retaking the exam
Passing score: NVIDIA does not publish a numeric passing score on the certification page. Use the domain weights to prioritize your study.
Domains and weights: LLM Architecture 6%; Prompt Engineering 13%; Data Preparation 9%; Model Optimization 17%; Fine-Tuning 13%; Evaluation 7%; GPU Acceleration and Optimization 14%; Model Deployment 9%; Production Monitoring and Reliability 7%; Safety, Ethics, and Compliance 5%.
Prerequisites and language: Two to three years of practical AI or ML experience working with LLMs, plus the architecture, fine-tuning, evaluation, optimization, deployment, and coding background described by NVIDIA; English.

Mike Wheeler's matching Udemy practice-test course artwork

After your self-assessment

Practice the exact certification next

Use the free scorecard to find your gaps. Then use Mike Wheeler's matching Udemy practice tests to work through exam-style questions and explanations.

See the practice tests

Course artwork shown above is from Mike's Udemy practice-test course. It is not a vendor-issued certification badge.

✦ The blueprint, weighted

The published study-guide domain weights

Straight from NVIDIA's linked exam study guide, and exactly what the scorecard grades you against. The longer the bar, the more of the exam rides on it.

Model Optimization17%

GPU Acceleration and Optimization14%

Prompt Engineering13%

Fine-Tuning13%

Data Preparation9%

Model Deployment9%

Evaluation7%

Production Monitoring and Reliability7%

LLM Architecture6%

Safety, Ethics, and Compliance5%

✦ How it works

Five minutes to an honest study plan

Rate yourself

Slide through every topic the exam tests. No login, no grading, just your honest read.

See your weighted gaps

Charts show your readiness per domain, weighted the way the exam actually scores.

Study where it pays

Put your next hour on the weakest heavy domain, then re-score and watch the gap close.

✦ Your instructor

Mike Wheeler, founder of Velza Training and Consulting

Built by Mike Wheeler

Mike Wheeler is an AI and Salesforce trainer and O’Reilly author who has taught well over 500,000 global learners on platforms such as edX, LinkedIn Learning, Pearson, and Udemy. He built this scorecard for people aiming at NVIDIA’s Generative AI LLMs exam.

500,000+ global learners taught O’Reilly author Free reusable scorecard