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Home › Courses › NVIDIA › NVIDIA-Certified Associate: Generative AI Multimodal (NCA-GENM)
NVIDIANVNCAGENM

NVIDIA-Certified Associate: Generative AI Multimodal (NCA-GENM)

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.
$1,995catalog 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
  • 14 Dec 2026Burbank, CA
Make your offerCourse datasheet (PDF)
3 daysconsecutive days
Live onlineor in the classroom
AssociateArtificial Intelligence
45% labs55% lecture
24 monthsfree retakes

Course overview

Download the course datasheetThe full outline for NVIDIA-Certified Associate: Generative AI Multimodal (NCA-GENM), as a PDF.
thinQtank® Learning is offering a unique three-day training camp comprised of three days of instructor-led learning that gives students the knowledge and skills needed to explain the machine learning concepts behind multimodal models, work with image, audio, video and text data, run and evaluate experiments, optimize performance and apply trustworthy AI practices.

The camp follows the official NVIDIA NCA-GENM exam topics and study guide, with hands-on Python labs with multimodal models on GPU-accelerated environments 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 Associate: Generative AI Multimodal (NCA-GENM) exam.

What's included

13 items
thinQtank® Learning Accelerated Custom Exam Study Guide for NCA-GENM
Hands-on Python labs with multimodal models on GPU-accelerated environments
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

18 objectives
  • Apply core ML/DL fundamentals: cross-validation, model comparison, residual networks and multimodal loss functions
  • Analyze large datasets and attention maps to extract insights and spot confounding factors
  • Develop, test and verify multimodal models and the quality of their data
  • Integrate text, image, audio, time-series and geospatial data, including RAG and vector-database use cases
  • Optimize training and inference with hyperparameter tuning and transfer learning
  • Build U-Net and CLIP-based diffusion text-to-image models and use NVIDIA NeMo and Triton
  • Apply trustworthy-AI principles: privacy, consent and bias mitigation
  • Machine Learning and Deep Learning Foundations
  • Neural Architectures: CNNs, Residual Networks and Transformers
  • Multimodal Learning, Fusion and Loss Functions
  • Data Analysis and Visualization for Multimodal Pipelines
  • Experimentation: Developing and Testing Multimodal Models
  • Multimodal Data: Text, Image, Audio, Time-Series and Geospatial
  • LLM Use Cases: RAG, Chatbots and Vector Databases
  • Performance Optimization and Transfer Learning
  • Generative Models: U-Nets, Diffusion and CLIP
  • Prompt Engineering, NVIDIA NeMo and Triton
  • Trustworthy AI

The exam

60questions maximum
60minutes to complete
  • Seven topic areas: Core Machine Learning and AI Knowledge (20%); Data Analysis (10%); Experimentation (25%); Multimodal Data (15%); Performance Optimization (10%); Software Development (15%); Trustworthy AI (5%)
  • Delivered online with a remote proctor through Certiverse; English only
  • Exam fee: $125 (set by NVIDIA)
  • Valid two years; recertify by retaking the current exam

Who it's for, and what you need first

Target Audience

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

Prerequisites

  • No certification is required
  • Recommended: A basic understanding of generative AI

How it's delivered

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

Dates and locations

20 scheduled
Guaranteed to run means the class goes ahead whatever the enrollment.
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.