🧠 NVIDIA Generative AI LLMs – Associate

Validate your ability to develop, optimize, and deploy LLM solutions with the NVIDIA stack — Transformer fundamentals, prompt engineering, NeMo, TensorRT-LLM, NIM, RAG, and responsible AI — for the NCA-GENL exam.

📋 Exam Code: NCA-GENL
⏱️ 60 Minutes, ~50–60 Questions
📅 4–6 Weeks Prep
🎯 Associate Level
✨ Associate Level — Basic ML/Python and Deep Learning Familiarity Recommended

What Is the NVIDIA NCA-GENL?

The NVIDIA Certified Associate: Generative AI LLMs (NCA-GENL) validates foundational skills in developing, integrating, and maintaining AI systems powered by large language models using NVIDIA's solutions. It spans core ML and NLP concepts, the Transformer architecture, prompt engineering and experimentation, data analysis, model customization, and inference optimization and deployment with the NVIDIA software stack (NeMo, TensorRT-LLM, NIM, NeMo Guardrails). It is ideal for developers, data scientists, and engineers building generative AI on NVIDIA GPUs.

1

Core ML, NLP & Transformers

1–2 weeks
2

Prompt Engineering, Data & Experimentation

1 week
3

Model Customization & RAG

1–2 weeks
4

Inference Optimization, Deployment & Safety

1–2 weeks

📚 Recommended Study Resources

NVIDIA Deep Learning Institute (DLI)

Self-paced and instructor-led courses on generative AI, LLMs, and the NVIDIA stack

NCA-GENL Exam Guide

Official NVIDIA exam study guide listing all assessed topics and weightings

NeMo & NIM Documentation

NVIDIA NeMo, TensorRT-LLM, NIM, and NeMo Guardrails product documentation

NVIDIA Technical Blog

Articles on RAG, LLM optimization, quantization, and deployment best practices

Ready to Test Your Knowledge?

Take our NCA-GENL practice exam covering LLM fundamentals, prompt engineering, the NVIDIA stack, RAG, and deployment

Start NCA-GENL Practice Exam →