NVIDIA Certified Professional: Generative AI LLMs NCP-GENL Prep Course
A structured course covering every NCP-GENL exam domain, delivered as 52 lessons across 10 modules. Work through it in order, or jump to the module for the domain you are weakest in.
Threads through the course
Six throughlines that run across modules, so the course reads as continuous rather than as fourteen separate topics.
- The measurement thread
- The weights thread
- The infrastructure thread
- The efficiency thread
- The control thread
- The core-concepts thread
- The generative pipeline thread
- The multimodal-measurement thread
- The compute-efficiency thread
- The trust and safety thread
- The resilience thread
- The memory and grounding thread
- The NVIDIA stack thread
- The oversight thread
- The model-efficiency thread
- The adaptation-strategy thread
- The regression-measurement thread
- The guardrail-limits thread
Course outline
52 lessons delivered as 52 sessions · 40h from 40h designed · 52 written
Module 2 · 5 lessons · 5.2h
Prompt Engineering
Without touching a single weight, what can a prompt, a template, or a decoding constraint actually buy you — and when do you stop and fine-tune instead?
obj 2.1 · 2.2 · 2.3 · 2.4 · 2.5The adaptation-strategy thread
Why this weighting
Tied for third-largest at 13% and a favorite for scenario questions: choosing a prompting strategy under a stated constraint, and distinguishing prompting cleanly from fine-tuning.