NCA-GENL - NCA - Generative AI LLMs
Exam Code: NCA-GENL
The NVIDIA Certified Associate – Generative AI and LLMs
(NCA-GENL) certification is an entry-level credential designed to validate
foundational skills in developing, integrating, and maintaining AI-driven
applications using generative AI and large language models (LLMs) with NVIDIA
solutions. ?
Exam Overview
- Duration:
60 minutes
- Format:
50–60 multiple-choice questions
- Cost:
$125 USD
- Language:
English
- Delivery:
Online, remotely proctored
- Validity:
2 years
- Prerequisites:
Basic understanding of generative AI and LLMs
- Credential:
Digital badge and optional certificate upon passing?
Exam Content Breakdown
The exam assesses knowledge in the following areas:
- Core
Machine Learning and AI Knowledge: 30%
- Software
Development: 24%
- Experimentation:
22%
- Data
Analysis and Visualization: 14%
- Trustworthy
AI: 10%?
Key topics include:
- Fundamentals
of machine learning and neural networks
- Prompt
engineering and alignment
- Data
preprocessing and feature engineering
- Experiment
design and analysis
- Python
libraries for LLMs
- LLM
integration and deployment?
Target Audience
This certification is ideal for:
- AI
DevOps engineers
- Applied
data scientists and researchers
- Machine
learning engineers
- Software
engineers
- Solutions
architects
- Generative
AI specialists
- LLM
specialists and researchers?
Recommended Preparation Resources
NVIDIA Official Training:
- Getting
Started With Deep Learning: Self-paced, 8 hours, $90
- Fundamentals
of Deep Learning: Instructor-led, 8 hours, $500
- Building
LLM Applications with Prompt Engineering: Self-paced, 8 hours, $90
- Rapid
Application Development With Large Language Models (LLMs): Self-paced,
8 hours.
Study Tips
- Understand
the Exam Blueprint: Familiarize yourself with the weightage of each
topic to prioritize your study plan.
- Hands-On
Practice: Engage in practical projects to apply theoretical knowledge.
- Utilize
Official Resources: Leverage NVIDIA's official courses and study
guides.
- Practice
Tests: Regularly take practice exams to assess your readiness and
identify areas for improvement.
- Join
Study Groups: Collaborate with peers to share knowledge and resources.?