NVIDIA-Certified Associate: Generative AI with LLMs

The exam is entry-level but requires solid understanding of LLM fundamentals. The difficulty is moderate to challenging for those new to generative AI. Core ML Knowledge (30%) is the largest domain, testing transformer architecture, attention mechanisms, and neural network fundamentals.

NVIDIA does not publicly disclose the exact passing score. The exam contains 50-60 questions with 60 minutes to complete.

NCA-GENL (Associate) is entry-level, focusing on foundational LLM concepts and basic implementation. NCP-GENL (Professional) is intermediate-level, requiring 2-3 years of production experience and covering advanced topics like distributed training and model optimization.

NVIDIA recommends free resources like 'The Fast Path to Developing With LLMs' (50 min video) and 'Running Your Own LLM' (40 min video), plus self-paced courses on deep learning fundamentals and transformer-based NLP ($30-$90).

No prerequisite certifications are required. This is designed as an entry-point into NVIDIA's AI certification ecosystem.

You should be familiar with Python, PyTorch/TensorFlow, transformers library, LangChain basics, and NVIDIA tools (NIM, NeMo, RAPIDS). Understanding of cuDF and RAPIDS workflows is also tested.

Yes, this is an official NVIDIA certification providing a verified credential in generative AI. It demonstrates foundational competency to employers and serves as a stepping stone to professional-level certifications.

Yes, the exam is delivered online and remotely proctored via the Certiverse platform.

The exam costs $125 USD. NVIDIA occasionally offers promotional discounts.