NVIDIA-Certified Associate: Generative AI Multimodal

The exam is associate-level and requires a basic understanding of generative AI. It covers 7 domains spanning multimodal AI concepts including diffusion models, vision-language models, speech AI, and NVIDIA platform tools. Candidates with foundational AI/ML knowledge and some hands-on experience should be well-prepared.

NVIDIA does not publicly disclose the exact passing score. The exam contains 50-60 questions and candidates have 60 minutes to complete it. We recommend scoring 70%+ consistently on practice tests before scheduling.

The NCA-GENM certification is valid for 2 years from the date of issuance. To maintain your certification, you must retake and pass the exam before it expires.

NVIDIA recommends several courses: 'Getting Started With Deep Learning' ($90, 8 hours), 'Introduction to Transformer-Based NLP' ($30, 6 hours), 'Generative AI With Diffusion Models' ($90, 8 hours), and instructor-led workshops including 'Building AI Agents with Multimodal Models' ($500, 8 hours).

No, there are no prerequisite certifications required. You only need a basic understanding of generative AI concepts.

You should have familiarity with diffusion models (Stable Diffusion), vision-language models (CLIP), transformer architectures, NVIDIA tools (NIM, NeMo, Riva, Triton), and Python programming.

Yes, this is an official NVIDIA certification that validates skills in multimodal generative AI. Upon passing, you receive a digital badge and optional certificate. Multimodal AI is one of the fastest-growing areas in AI, making this credential highly valuable.

Yes, the exam is delivered online and is remotely proctored via the Certiverse platform, allowing you to take it from anywhere with a stable internet connection.

The exam costs $125 USD. You'll need to create a Certiverse account to register for the exam.