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NVIDIA
NVIDIA offers generative-AI certification assessments. The registry distinguishes its Associate Generative AI LLMs credential from the Professional NCP-GENL exam. The Professional page expects practical LLM experience and covers architecture, optimization, deployment and monitoring; it is not an introductory taught course.
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Available programs (9)
NVIDIA-Certified Professional: Generative AI LLMs
- Price
- USD 200USD 200 for the stated exam registration scope. The official US page displays $200; USD is normalized under the accepted US-source rule, not quoted as a literal ISO label. Preparation and repeat-attempt costs are separate.
- Duration
- 120 minutes for the exam assessmentnot preparation time
- Level
- Professional (provider also describes the credential as intermediate-level)
- Format
- Proctored certification examQuestions: 60-70.
- Credential
- professional certification
- Prerequisites
- Provider expects 2-3 years of practical AI/ML experience working with LLMs and detailed technical familiarity; NVIDIA-platform familiarity is beneficial but not strictly required.
Sources ↗
- Price : https://www.nvidia.com/en-us/learn/certification/generative-ai-llm-professional/
- Duration : https://www.nvidia.com/en-us/learn/certification/generative-ai-llm-professional/
- Official program page : https://www.nvidia.com/en-us/learn/certification/generative-ai-llm-professional/
- Credential details : https://www.nvidia.com/en-us/learn/certification/#faq
NVIDIA-Certified Associate: Generative AI LLMs (NCA-GENL)
Facts checked 11 Oct 2026
- Price
- USD 125
US price: USD 125 for one exam attempt; confirm booking charges. Optional preparation and additional attempts are not included.
- Time
- 60 minutes
- Level
- Associate
- Credential
- two years
Valid for two years from issuance. Recertification is available by retaking the exam.
- Prerequisites
- Basic understanding of generative AI and large language models.
NVIDIA-Certified Associate: Generative AI Multimodal (NCA-GENM)
Facts checked 5 Oct 2026
- Price
- USD 125
USD 125 for the stated exam registration, normalized from $125 on the official US page; optional preparation and repeat attempts are separate.
- Time
- 60 minutes for the exam assessment; not preparation time
- Level
- Associate
- Credential
- two years
Valid for two years from issuance; recertification by retaking the exam.
- Prerequisites
- Basic understanding of generative AI.
NVIDIA-Certified Associate: AI Infrastructure and Operations (NCA-AIIO)
Facts checked 5 Oct 2026
- Price
- USD 125
USD 125 for the stated exam registration, normalized from $125 on the official US page; optional preparation and repeat attempts are separate.
- Time
- 60 minutes for the exam assessment; not preparation time
- Level
- Associate
- Credential
- two years
Valid for two years from issuance; recertification by retaking the exam.
- Prerequisites
- Basic understanding of data-center infrastructure.
NVIDIA-Certified Professional: AI Infrastructure (NCP-AII)
Facts checked 6 Oct 2026
- Price
- USD 400
USD 400 for one exam attempt, normalized from the dollar amount on NVIDIA's official US page; preparation and repeat attempts are separate.
- Time
- 120 minutes for the exam assessment; not preparation time
- Level
- Professional
- Credential
- two years
Valid for two years from issuance; recertification by retaking the exam.
- Prerequisites
- Two to three years of operational experience working in a data center with NVIDIA hardware solutions. The candidate should be able to deploy all the parts of a data center infrastructure in support of AI workloads.
NVIDIA-Certified Professional: AI Operations (NCP-AIO)
Facts checked 6 Oct 2026
- Price
- USD 500
USD 500 for one exam attempt, normalized from the dollar amount on NVIDIA's official US page; preparation and repeat attempts are separate.
- Time
- 120 minutes for the exam assessment; not preparation time
- Level
- Professional
- Credential
- two years
Valid for two years from issuance; recertification by retaking the exam.
- Prerequisites
- Two to three years of operational experience working in a data center with NVIDIA hardware solutions. The candidate should be able to monitor and manage all the parts of a data center infrastructure in support of AI workloads.
NVIDIA-Certified Professional: AI Networking (NCP-AIN)
Facts checked 6 Oct 2026
- Price
- USD 400
USD 400 for one exam attempt, normalized from the dollar amount on NVIDIA's official US page; preparation and repeat attempts are separate.
- Time
- 120 minutes for the exam assessment; not preparation time
- Level
- Professional
- Credential
- two years
Valid for two years from issuance; recertification by retaking the exam.
- Prerequisites
- Two to three years of operational experience working in a data center with NVIDIA hardware solutions. The candidate should be able to deploy and manage NVIDIA AI networking infrastructure in support of AI workloads.
NVIDIA-Certified Associate: Accelerated Data Science (NCA-ADS)
Facts checked 5 Oct 2026
- Price
- USD 125
USD 125 for one exam attempt, normalized from the dollar amount on NVIDIA's official US page; preparation and repeat attempts are separate.
- Time
- 60 minutes for the exam assessment; not preparation time
- Level
- Associate
- Credential
- two years
Valid for two years from issuance; recertification by retaking the exam.
- Prerequisites
- 1–2 years of experience in accelerated data science, using GPU-based tools to efficiently process and analyze large datasets and improve the performance of machine learning, ETL, and analytics workloads.
NVIDIA-Certified Professional: Accelerated Data Science (NCP-ADS)
Facts checked 5 Oct 2026
- Price
- USD 200
USD 200 for one exam attempt, normalized from the dollar amount on NVIDIA's official US page; preparation and repeat attempts are separate.
- Time
- 120 minutes for the exam assessment; not preparation time
- Level
- Professional
- Credential
- two years
Valid for two years from issuance; recertification by retaking the exam.
- Prerequisites
- Two to three years of hands-on experience in accelerated data science; Strong foundation in machine learning and GPU-accelerated computing; Experience in GPU-based optimization strategies and accelerated data manipulation techniques; Deep understanding of end-to-end data science workflows, from data preparation and cleansing to model development and deployment, with a focus on leveraging GPU acceleration for enhanced performance and efficiency
Credential policy
NCP-GENL is valid for two years and requires retaking and passing the exam to recertify. NVIDIA describes shareable Credly badges and downloadable or printable certificates. These facts are credential-specific; review each listed exam separately. · Source Source
What’s covered
Explore the individual programs above for topics, entry requirements and official course links.
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