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

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The NVIDIA-Certified Associate: Generative AI and LLMs (NCA-GENL) certification validates foundational knowledge of generative AI, large language models (LLMs), and NVIDIA's AI technologies. It demonstrates skills in deploying, optimizing, and managing generative AI workflows. Ideal for professionals entering AI-focused roles.

Contents

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

The NVIDIA-Certified Associate: Generative AI and LLMs (NCA-GENL) exam evaluates understanding of generative AI concepts, large language models (LLMs), and NVIDIA's AI tools and platforms. It includes topics like model training, deployment, optimization, and use of NVIDIA hardware/software solutions. The exam is designed for AI beginners, requiring basic knowledge of AI workflows and programming. Passing demonstrates foundational skills for roles involving AI and LLMs.

NVIDIA-Certified Associate: Generative AI and LLMs Certification (NCA-GENL) Exam Syllabus/ Skills Measures

  • Generative AI Fundamentals: Understanding principles, applications, and use cases of generative AI and LLMs.
  • Model Training and Optimization: Basics of training LLMs, fine-tuning, and optimizing models for performance.
  • NVIDIA AI Ecosystem: Knowledge of NVIDIA hardware (GPUs) and software tools like CUDA, TensorRT, and NVIDIA AI frameworks.
  • Deployment and Inference: Techniques for deploying AI models, handling inference workloads, and ensuring scalability.
  • Ethics and Best Practices: Awareness of ethical considerations, biases, and guidelines for responsible AI development.

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

  • Type of Questions: Multiple-choice and scenario-based questions.
  • Duration: Typically ranges between 60-90 minutes.
  • Number of Questions: Approximately 40-60 questions.
  • Passing Score: Generally around 70% or higher (specific details may vary).
  • Mode: Online proctored or test-center-based options.

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Summary

The NVIDIA-Certified Associate: Generative AI and LLMs (NCA-GENL) certification is designed to validate foundational skills in generative AI and large language models (LLMs). The exam covers topics like model training, optimization, and deployment, focusing on NVIDIA technologies and tools. It is aimed at individuals looking to enter AI-focused roles, with an emphasis on practical applications in the field. The certification demonstrates proficiency in working with generative AI workflows and NVIDIA hardware. Passing the exam proves the ability to contribute effectively to AI projects.

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The NVIDIA-Certified Associate: Generative AI and LLMs Certification (NCA-GENL) exam covers topics such as machine learning, data analysis, and large language models (LLMs).

  • Machine learning: Understand the fundamentals of machine learning and neural networks
  • Data analysis: Learn how to analyze data and visualize it
  • Data preprocessing: Learn how to prepare data for analysis, including handling missing data and outliers
  • Feature engineering: Learn how to extract features from data using techniques like standardization and normalization
  • Prompt engineering: Learn how to create effective prompts for generative AI
  • LLMs: Learn how to integrate and deploy large language models
  • Model evaluation: Learn how to evaluate models using metrics like accuracy, precision, and recall
  • Natural language processing (NLP): Learn how to use NLP techniques
  • Software development: Learn how to develop software for AI applications

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The NVIDIA-Certified Associate: Generative AI and LLMs Certification (NCA-GENL) exam has 50 multiple-choice questions.

The passing score for the NVIDIA-Certified Associate: Generative AI and LLMs (NCA-GENL) exam is typically 70%.

The NVIDIA-Certified Associate: Generative AI and LLMs Certification (NCA-GENL) exam is 60 minutes long.

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There are no formal prerequisites for taking the NVIDIA-Certified Associate: Generative AI and LLMs (NCA-GENL) exam. However, it can be beneficial to have a basic understanding of generative AI and large language models (LLMs). You may also find it helpful to be familiar with Python and Linux.

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