• Exam Breakdown
  • Domain Breakdown
  • Access Breakdown

Exam Format

  • Exam Code: NCA-GENL
  • 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 generative AI and LLM concepts.

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

There are no mandatory prerequisites for taking the NVIDIA-Certified Associate: Generative AI LLMs exam. However, NVIDIA recommends:
  • Basic understanding of artificial intelligence and machine learning concepts
  • Familiarity with natural language processing (NLP) fundamentals
  • Understanding of deep learning and neural network concepts
  • Basic knowledge of GPU computing and AI workflows

Exam Topics

  • Generative AI Fundamentals — Generative AI concepts, model types, use cases, ethical considerations
  • Large Language Models (LLMs) — LLM architecture, transformers, tokenization, model training and inference
  • NLP and Deep Learning Concepts — Natural language processing workflows, embeddings, fine-tuning concepts
  • NVIDIA AI Ecosystem — NVIDIA GPUs, CUDA, AI frameworks, NVIDIA AI software stack
  • Model Deployment and Optimization — Inference pipelines, performance optimization, scalability considerations
  • Responsible AI and Security — Bias, safety considerations, data privacy, model governance

Intended Audience

  • The NVIDIA-Certified Associate: Generative AI LLMs certification is designed for professionals and learners working with AI technologies, including:
  •  AI Engineers (entry-level)
  • Data Scientists (beginner level)
  • Machine Learning Engineers (entry-level)
  • Software Developers working with AI
  • IT Professionals exploring generative 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 generative AI and LLM knowledge, demonstrates understanding of modern AI technologies, recognized by organizations adopting AI-driven solutions.

Exam Mode

The exam is typically delivered:
  • Online through NVIDIA certification testing platform
  • Through authorized NVIDIA certification partners (availability varies by region)

Exam Booking Link

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

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