Udemy
Generative AI : LLM, Fine-tuning, RAG & Prompt engineering
Artificial Intelligence · IT & Software
Library / Artificial Intelligence
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Ready to earn the NVIDIA-Certified Professional: Generative AI LLMs credential? These six full-length, timed practice exams put you in real test conditions so you walk into the NCP-GENL exam knowing exactly what to expect.
Every one of the 420 questions includes a detailed answer explanation, so you learn the reasoning behind each correct response and understand why the distractors are wrong. Questions are written and weighted to mirror the official NVIDIA blueprint, with a small minority of multiple-response (multi-select) items signaled in the stem, just like the real exam.
What makes these practice tests different:
Mapped to the real blueprint domains and weights, not a generic LLM quiz. Question distribution follows the published NCP-GENL weighting: Model Optimization 17 percent, GPU Acceleration and Optimization 14 percent, Prompt Engineering 13 percent, Fine-Tuning 13 percent, Data Preparation 9 percent, Model Deployment 9 percent, Evaluation 7 percent, Production Monitoring and Reliability 7 percent, LLM Architecture 6 percent, and Safety, Ethics and Compliance 5 percent.
Six independent, full-length exams of 70 questions each, sized to the high end of the real exam, for 420 unique questions total with zero filler.
Every question carries a thorough explanation plus the domain tag, so a wrong answer becomes a targeted study lead.
A 120-minute timer per exam reproduces real pacing pressure, so exam-day timing never surprises you.
About the exam: The NVIDIA-Certified Professional: Generative AI LLMs (NCP-GENL) exam is an online, remotely proctored exam delivered in English. It contains roughly 60 to 70 questions and you get 120 minutes to complete it. Items are multiple-choice with some multiple-response questions. NVIDIA does not publish an official passing score for this exam. These practice tests use a 70 percent pass mark as a confidence benchmark to help you gauge readiness.
This is a practice-test course. It
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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