Aegis-GPU

NCA-GENM · Associate · 60 min · 50-60 questions · $125

Generative AI Multimodal

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Readiness by domain

Tracks your accuracy and coverage in each official domain as you practise.

Mock exam

Unlocks when the question bank reaches 50 questions.

Exam details and more tools

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More study tools

  • Ask Aegis: the tutor button at the bottom right answers from the course content with citations.
  • Xid error reference: every in-use NVIDIA Xid code with NVIDIA's recommended actions.
  • HGX hardware guide: a beginner's tour of an 8-GPU server.

Exam facts

Level
Associate
Duration
1 hour
Questions
50-60 multiple-choice
Price
$125
Delivery
Online, remotely proctored
Language
English
Validity
Two years from issuance
Scoring
Pass/fail (no numeric score is reported)
Prerequisites
A basic understanding of generative AI

Exam facts verified against NVIDIA's NCA-GENM page on 2026-10-08. Unverified: domains[].objectives. The official page lists domain names and weights only; objective-level detail is in NVIDIA's study guide PDF and is not reproduced here. NVIDIA's page is internally inconsistent on question count: summary says 50 questions, exam details say "50-60 multiple-choice". Always confirm on nvidia.com before booking.

Official blueprint

Experimentation — 25%

Objective-level detail is not published on NVIDIA's page; see the official study guide.

Core Machine Learning and AI Knowledge — 20%

Objective-level detail is not published on NVIDIA's page; see the official study guide.

Multimodal Data — 15%

Objective-level detail is not published on NVIDIA's page; see the official study guide.

Software Development — 15%

Objective-level detail is not published on NVIDIA's page; see the official study guide.

Data Analysis and Visualization — 10%

Objective-level detail is not published on NVIDIA's page; see the official study guide.

Performance Optimization — 10%

Objective-level detail is not published on NVIDIA's page; see the official study guide.

Trustworthy AI — 5%

Objective-level detail is not published on NVIDIA's page; see the official study guide.

Study roadmap

  1. Baseline. Read the official exam page and study guide, then skim every domain below to find gaps.
  2. Experimentation (25%). Study the NVIDIA training and docs linked below for this domain; keep notes per objective.
  3. Core Machine Learning and AI Knowledge (20%). Study the NVIDIA training and docs linked below for this domain; keep notes per objective.
  4. Multimodal Data (15%). Study the NVIDIA training and docs linked below for this domain; keep notes per objective.
  5. Software Development (15%). Study the NVIDIA training and docs linked below for this domain; keep notes per objective.
  6. Data Analysis and Visualization (10%). Study the NVIDIA training and docs linked below for this domain; keep notes per objective.
  7. Performance Optimization (10%). Study the NVIDIA training and docs linked below for this domain; keep notes per objective.
  8. Trustworthy AI (5%). Study the NVIDIA training and docs linked below for this domain; keep notes per objective.
  9. Exam rehearsal. Re-read your weakest domain notes and the study guide.

Official resources

From NVIDIA