Exam Format

• Exam Code: NCA-GENM
• Certification Level: Associate
• Exam Duration: 60 minutes
• Passing Score: Not publicly disclosed by NVIDIA (score report provided after completion)
• Unscored Content: The exam may include unscored questions for research purposes that do not affect your final score.

Exam Details

• Question Types: Multiple choice, multiple response
• Number of Questions: Approximately 50–60 questions (NVIDIA does not publish exact count)
• Hands-On Questions: No hands-on lab simulations — focuses on multimodal AI concepts and workflows.

Exam Policies

• Rescheduling/Cancellation: Must follow NVIDIA certification testing policies (typically at least 24 hours before scheduled exam time).
• Waiting Period: Retake policies follow NVIDIA certification guidelines.
• Retake Fee: Full exam fee required for each retake.

Certification Validity and Renewal

• Validity: 2 years
• Renewal Options: Pass the latest version of the certification exam or meet NVIDIA recertification requirements.

Exam Fee

• Base Fee: $135 USD (excluding taxes)
• Taxes: Country-specific VAT may apply
• Example: In India, 18% tax applies, making the total $159.30 USD ($135 + $24.30 tax)

Prerequisites

• Basic understanding of artificial intelligence and machine learning concepts
• Familiarity with deep learning and neural networks
• Understanding of generative AI fundamentals
• Basic knowledge of GPU computing and AI workflows
• Awareness of computer vision and natural language processing concepts

Exam Topics

• Multimodal Generative AI Fundamentals — Multimodal AI concepts, model types, use cases, data modalities (text, image, audio, video)
• Multimodal Model Architectures — Transformers, embeddings, cross-modal learning, model training and inference
• Computer Vision and NLP Concepts — Image processing, text processing, multimodal data integration
• NVIDIA AI Ecosystem — NVIDIA GPUs, CUDA, AI frameworks, NVIDIA AI software stack
• Multimodal AI Deployment and Optimization — Model deployment, inference pipelines, performance optimization
• Responsible AI and Ethical Considerations — Bias, safety, data privacy, governance for multimodal AI systems

Intended Audience

• AI Engineers (entry-level)
• Machine Learning Engineers (beginner level)
• Data Scientists (entry-level)
• Software Developers working with AI
• IT Professionals exploring multimodal AI technologies

Career Impact

Jobs You Can Get:

• AI Engineer (entry-level), Machine Learning Engineer, AI Developer, Data Scientist (junior), AI Solutions Specialist

Average Salary:

• U.S.: $85,000–$130,000 USD,
• India: ₹8,00,000–₹20,00,000 INR,
• United Kingdom: £45,000–£80,000 GBP,
• UAE: 180,000–320,000 AED per year.

Why It’s Valuable:

• Validates knowledge of multimodal generative AI technologies, demonstrates understanding of modern AI model architectures, recognized by organizations adopting AI-driven solutions.

Exam Mode

• Online through NVIDIA certification testing platform
•  Through authorized NVIDIA certification partners (availability varies by region)

Exam Booking Link

• Book your NVIDIA-Certified Associate: Generative AI Multimodal exam via NVIDIA Training — Click here (https://www.nvidia.com/en-us/training/certification/)

Once you pass the exam:

• Access your certification through the NVIDIA certification portal
• Digital certificate available after successful completion
•  Download and share certification credentials from your NVIDIA account dashboard

Offers