NCP-GENL: NVIDIA Generative AI & LLMs Cert Prep

About this course

This course contains the use of artificial intelligence.

This course delivers exam-focused preparation for NVIDIA's NCP-GENL Professional certification, the technical step up from the NCA-GENL associate exam. Built by Aseem Mankotia, it is structured around the six official NCP-GENL objective domains and moves directly into transformer internals, LoRA/QLoRA and RLHF/DPO customization, distributed training parallelism, TensorRT-LLM quantization, NIM/Triton serving, and NeMo Guardrails — with editorial domain-weight estimates clearly flagged since NVIDIA does not publish official weightings or a passing score.

Every chapter follows a decision-first format because NCP-GENL is fundamentally a decision-and-optimization exam: prompt vs RAG vs fine-tune, full fine-tuning vs PEFT, data vs tensor vs pipeline parallelism, FP16 vs BF16 vs FP8, INT8 vs FP8 vs AWQ/GPTQ, and NIM vs custom Triton serving. Aseem Mankotia walks through NVIDIA-stack labs — NeMo customization recipes, TensorRT-LLM engine builds, Triton model repositories, and NeMo Guardrails configs — at read-and-understand depth so you can reason about accuracy, cost, and latency trade-offs the way the exam frames them.

The course closes with a full timed practice exam simulating 60-70 scenario-style questions across all domains, paired with a 120-minute pacing and elimination strategy. Use this course to master the domains, sharpen your ability to select the BEST architecture, customization, or deployment strategy under constraints, and build the confidence to sit for the proctored NCP-GENL exam through Certiverse.

AI content disclosure: This course was produced with the assistance of artificial intelligence tools. Lecture narration is AI-voice generated, and lecture scripts, slides, and practice questions were drafted with AI assistance, then reviewed and curated by the instructor for technical accuracy and alignment with the official NCP-GENL exam guide.

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