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NVIDIA - Certified Associate: Generative AI and LLMs Certification (NCA-GENL)

NVIDIA - Certified Associate: Generative AI and LLMs Certification (NCA-GENL)

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  • No. of Questions10
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  • Access DurationLife Long Access
  • Exam DeliveryOnline
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Practice Exam

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  • No. of Questions99
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  • Access DurationLife Long Access
  • Exam DeliveryOnline
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  • Last UpdatedOctober 2024

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NVIDIA - Certified Associate: Generative AI and LLMs Certification (NCA-GENL) Exam


The NCA Generative AI LLMs Certification is an entry-level credential designed to validate your understanding of fundamental concepts related to developing, integrating, and maintaining AI-driven applications using generative AI and large language models (LLMs) with NVIDIA solutions. This online, remotely proctored exam consists of 50 questions and has a 60-minute time limit.


Exam Prerequisites 

There are no formal prerequisites for enrolling in the NCA Generative AI LLMs Certification Course. However, having prior knowledge in the following areas can be beneficial:

  • A basic understanding of Generative AI and Large Language Models (LLMs)
  • Basic familiarity with Python and Linux


Course Outline

  • Fundamentals of machine learning and neural networks
  • Prompt engineering
  • Alignment
  • Data analysis and visualization
  • Experimentation
  • Data preprocessing and feature engineering
  • Experiment design
  • Software development
  • Python libraries for LLMs
  • LLM integration and deployment


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Exam Format and Information

Exam Name NVIDIA - Certified Associate: Generative AI and LLMs Certification 
Exam Code (NCA-GENL)
Exam Duration 60 minutes
Exam Format Multiple Choice Questions
Exam Type Associate

Number of Questions 50 Questions

Eligibility/Pre-Requisite As suggested*
Exam Status Live
Exam Language English
Exam Validity Two years

NVIDIA - Certified Associate: Generative AI and LLMs Certification (NCA-GENL) FAQs

This certification is suitable for AI DevOps engineers, AI strategists, data scientists, machine learning engineers, software engineers, and other professionals involved in AI and LLMs.

While there are no formal prerequisites, having a basic understanding of generative AI, LLMs, Python, and Linux is beneficial.

Candidates will gain expertise in areas such as alignment, experimentation, experiment design, and using Python libraries for LLMs.

Topics include fundamentals of machine learning and neural networks, prompt engineering, data analysis, data preprocessing, feature engineering, software development, and LLM integration and deployment.

The certification exam consists of 50 questions with a 60-minute time limit. It is conducted online and can be remotely proctored.

The NVIDIA Certified Associate: Generative AI and LLMs (NCA-GENL) certification is designed to validate foundational knowledge and skills in generative AI and large language models (LLMs), specifically within the NVIDIA ecosystem. This entry-level certification is ideal for individuals aiming to understand the development, integration, and maintenance of AI-driven applications using generative AI and LLMs.

The certification is valid for two years.

 

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