AIFLX

Library / Artificial Intelligence

NCP-GENL NVIDIA Generative AI LLM: 4 Practice Tests

On Udemy

About this course

This course contains the use of artificial intelligence.

The NVIDIA-Certified Professional: Generative AI LLMs (NCP-GENL) exam tests whether you can design, train, optimize, deploy and govern large language models in production. This course gives you 200 original practice questions across four full-length, timed practice exams of 50 questions each.

Every question carries a detailed explanation covering why the correct answer is right and why the distractors are wrong, so a wrong answer teaches you something instead of just costing you a point.

The question split follows the live NVIDIA exam blueprint weights exactly, so your practice score means something:

  • Domain 1: LLM Architecture (6%) - transformer internals, attention, model families
  • Domain 2: Prompt Engineering (13%) - prompting techniques, context design, prompt risks
  • Domain 3: Data Preparation (9%) - tokenization, curation, dataset quality
  • Domain 4: Model Optimization (17%) - pruning, quantization, distillation
  • Domain 5: Fine-Tuning (13%) - PEFT, LoRA, RLHF, DPODomain 6: Evaluation (7%) - benchmarks, metrics, human evaluation
  • Domain 7: GPU Acceleration and Optimization (14%) - multi-GPU parallelism, throughput
  • Domain 8: Model Deployment (9%) - TensorRT, Dynamo-Triton, NIM serving
  • Domain 9: Production Monitoring and Reliability (7%) - observability, drift, incident response
  • Domain 10: Safety, Ethics, and Compliance (5%) - responsible AI and governance
  • Each exam is timed and scored so you can rehearse pacing under pressure, and retake it as often as you like.

Who this is for: ML and platform engineers working with LLMs in production; NCP-GENL candidates who want practice weighted to the real blueprint; practitioners who want to find their weak domains before exam day.

These questions are original practice material and are NOT actual exam questions or brain-dump content. All vendor marks are trademarks of their respective owners. This course is not affiliated with, endorsed by, or sponsored by NVIDIA.

Ready to start? Continue on Udemy to enroll.

Start learning on Udemy (opens in a new tab)

Prices, discounts and availability are set by Udemy. We may earn a commission when you purchase through links on this site.