thinQmaster Virtual testing partner Adaptive practice exams that find your weak spots and drill them. Every answer explained. From $69
Enroll

thinQmaster

Find your exam

Five questions free, before you decide.

Step 1 · choose a vendor

In one of our camps? Your practice exams come with the tuition — they are on your study page already.

Home › Courses › NVIDIA › NVIDIA-Certified Professional: Generative AI LLMs (NCP-GENL)
NVIDIANVNCPGENL

NVIDIA-Certified Professional: Generative AI LLMs (NCP-GENL)

We do not teach just for the test.Worked examples and real discussion, not a question bank. The exam is then delivered in the classroom — 98% pass it first time.
$2,795catalog price — your starting point
thinQflex™Tell us what you would like to pay for this class — in full, or across twelve monthly payments.
Next date
  • 30 Nov 2026Burbank, CA
Make your offerCourse datasheet (PDF)
4 daysconsecutive days
Live onlineor in the classroom
ProfessionalArtificial Intelligence
50% labs50% lecture
24 monthsfree retakes

Course overview

Download the course datasheetThe full outline for NVIDIA-Certified Professional: Generative AI LLMs (NCP-GENL), as a PDF.
thinQtank® Learning is offering a unique four-day training camp comprised of four days of instructor-led learning that gives students the knowledge and skills needed to explain LLM architecture, engineer prompts, prepare data, fine-tune and optimize models, evaluate them, accelerate them on GPUs, deploy and monitor them in production and apply safety and compliance practices.

The camp follows the official NVIDIA NCP-GENL exam topics and study guide, with hands-on labs fine-tuning, optimizing and deploying LLMs with NVIDIA tools throughout.

NVIDIA, CUDA, RAPIDS, InfiniBand, Spectrum, NeMo, NIM and Omniverse are trademarks of NVIDIA Corporation. OpenUSD is maintained by the Alliance for OpenUSD.

This course prepares students to take the NVIDIA-Certified Professional: Generative AI LLMs (NCP-GENL) exam.

What's included

13 items
thinQtank® Learning Accelerated Custom Exam Study Guide for NCP-GENL
Hands-on labs fine-tuning, optimizing and deploying LLMs with NVIDIA tools
Custom and focused exam preparation software and materials
Course specific thinQtank® Learning publications to promote a fun and exciting learning
Membership to the thinQtank® Learning University Online
WE DO NOT "TEACH THE TEST" - Students will receive valuable examples and discussion
All courses taught by AI engineers experienced with NVIDIA platforms
Additional hours of remote lab access
Custom video recordings with even more in-depth learning of course topics
Customized practice exam software
Digital courseware
Retake any or all portions of the course as many times as you like in person or live on-line for 24 months
Six months mentoring access to our engineers after completing the course

What you'll be able to do

20 objectives
  • Explain transformer-based LLM architectures and mechanisms
  • Apply prompt engineering: zero/one/few-shot, chain-of-thought and output control
  • Prepare, curate and tokenize data for pretraining, fine-tuning and inference
  • Fine-tune and align LLMs with SFT, RLHF/DPO/GRPO and PEFT (LoRA, adapters, P-tuning)
  • Scale training and inference across multiple GPUs with parallelism and profiling
  • Optimize and deploy LLMs with containerized pipelines, Triton and Kubernetes
  • Evaluate, monitor and maintain LLMs in production
  • Apply guardrails, bias auditing and responsible-AI practices
  • LLM Architecture and Transformers
  • Prompt Engineering
  • Data Preparation and Tokenization
  • Fine-Tuning and Alignment (SFT, RLHF, DPO)
  • Parameter-Efficient Fine-Tuning (LoRA, Adapters, P-Tuning)
  • Evaluation Metrics and Benchmarking
  • GPU Acceleration and Distributed Parallelism
  • Performance Profiling and Memory Optimization
  • Model Optimization for Inference
  • Model Deployment with Triton and Kubernetes
  • Production Monitoring and Reliability
  • Safety, Ethics and Compliance

The exam

70questions maximum
120minutes to complete
  • New professional certification; registration is open
  • Ten topic areas: LLM Architecture (6%); Prompt Engineering (13%); Data Preparation (9%); Model Optimization (17%); Fine-Tuning (13%); Evaluation (7%); GPU Acceleration and Optimization (14%); Model Deployment (9%); Production Monitoring and Reliability (7%); Safety, Ethics, and Compliance (5%)
  • Delivered online with a remote proctor through Certiverse; English only
  • Exam fee: $200 (set by NVIDIA)
  • Valid two years; recertify by retaking the current exam

Who it's for, and what you need first

Target Audience

  • Machine Learning Engineer
  • Software Developer / Engineer
  • Data Scientist
  • Generative AI Specialist / Solutions Architect
  • Service members, veterans and military spouses using AF COOL, Army Credentialing Assistance, MyCAA or VET TEC 2.0

Prerequisites

  • No certification is required
  • Recommended: Two to three years of practical AI/ML experience with large language models
  • NCA-GENL or equivalent generative AI experience is a strong foundation

How it's delivered

Instructor-Led Training
Immersive Live-Online Training
On-Site and Custom Delivery

Dates and locations

21 scheduled
Prices shown are MSRP. Qualified military personnel funding through Air Force COOL, Army Credentialing Assistance, MyCAA or VET TEC 2.0 pay a flat $1,500 per class, whatever the listed price. Everyone else — call 855-868-4467 about group pricing, discounts and current promotions.