Udemy
Generative AI : LLM, Fine-tuning, RAG & Prompt engineering
Artificial Intelligence · IT & Software
Library / Artificial Intelligence
On Udemy
Are you ready to become NVIDIA-Certified in Generative AI LLMs?
The NVIDIA-Certified Associate: Generative AI LLMs (NCA-GENL) certification validates your ability to build, deploy, and optimize Large Language Models using NVIDIA’s GPU-accelerated ecosystem. Passing this exam proves you understand LLM architecture, prompt engineering, RAG, fine-tuning, and responsible AI—skills that are in explosive demand.
But the exam is challenging. It tests not just theory, but applied knowledge of NVIDIA NeMo, TensorRT-LLM, Triton Inference Server, and real-world LLM deployment constraints. You cannot pass by memorizing concepts alone. You need exam-level practice.
This course gives you exactly that.
This resource contains 6 complete practice tests with over 600 unique, high-fidelity questions, crafted to mirror the official NCA-GENL exam in difficulty, style, and domain weighting.
This practice test suite primarily teaches you how to think like an NVIDIA GenAI associate by testing and reinforcing knowledge across all exam domains:
Foundations of Generative AI & LLMsTransformer architecture (attention, positional encoding, feed-forward networks)Pre-training objectives (causal LM, masked LM)Scaling laws, inference vs. training computeLLM Architecture & Optimization (NVIDIA Focus)Quantization (INT8, FP8, INT4) – when and why
TensorRT-LLM optimizations (in-flight batching, KV caching)Model parallelism (tensor, pipeline, sequence)Prompt Engineering & In-Context Learning
Zero-shot, few-shot, chain-of-thought, self-consistency
System prompts, stop tokens, logit biases
Handling hallucinations
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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