AI Developer Certificate

Directory / NVIDIA

NVIDIA-Certified Associate: Generative AI LLMs

A one-hour entry-level exam that is mostly general machine learning and LLM theory rather than NVIDIA product knowledge.

What it signals

Practical assessment: Scenario-based multiple choice (2 of 4) Practical assessment
Scenario-based multiple choice. Remotely proctored multiple-choice.
Identity assurance: Proctored with identity verification (4 of 4) Identity assurance
Proctored with identity verification. Online, remotely proctored (Certiverse)
Depth: Associate (2 of 4) Depth
Associate. Associate level.
Experience expected: None (0 of 4) Experience expected
None. Only a basic understanding is required.
Portability: Mostly transferable (3 of 4) Portability
Mostly transferable. Mostly vendor-neutral ML/LLM concepts with some NVIDIA tooling.
Verifiability: Public badge or registry (4 of 4) Verifiability
Public badge or registry. Credly badge and public NVIDIA directory.

For hiring managers

  • Entry-level, one-hour exam; blueprint is largely general ML/LLM theory rather than NVIDIA product knowledge. Pass/fail only. Max 5 attempts per 12 months, 14-day wait between attempts.

Verifying it

Credly digital badge (accepted by the candidate) plus NVIDIA's public certification directory on Credly: https://www.credly.com/organizations/nvidia/directory

What it covers

Published exam outline

  • Core Machine Learning and AI Knowledge 30%
  • Software Development 24%
  • Experimentation 22%
  • Data Analysis and Visualization 14%
  • Trustworthy AI 10%

By topic

GenAI apps: Substantial (20 to 35%) (3 of 4) GenAI apps
Substantial (20 to 35%). Software Development (24%) and parts of Experimentation cover LLM application building; blueprint is category-level so this is an estimate.
Agents: Not covered (0 of 4) Agents
Not covered. Agents are not named in the blueprint.
Classical ML: Substantial (20 to 35%) (3 of 4) Classical ML
Substantial (20 to 35%). Core ML and AI Knowledge is 30%.
Operations: Touched on (under 10%) (1 of 4) Operations
Touched on (under 10%). Deployment is only touched within Software Development.
Data: Some (10 to 20%) (2 of 4) Data
Some (10 to 20%). Data Analysis and Visualization is 14%.
Responsible AI: Some (10 to 20%) (2 of 4) Responsible AI
Some (10 to 20%). Trustworthy AI is 10%.

Exam details

Who the provider says it is for. AI DevOps engineers, data scientists, ML engineers, cloud solution architects, generative AI specialists, software engineers (as listed by NVIDIA)

Format
Multiple choice (count given as a range by NVIDIA)
Delivery
Online, remotely proctored (Certiverse)
Prerequisites
None formal
Recommended experience
A basic understanding of generative AI and large language models
Renewal
Retake the exam

Preparing

Not confirmed

These details were not available from an official source at the time of research.

  • passingScore (not published)
  • Whether exam items include code snippets (not stated officially)
  • Original launch date
Sources (2)