NVIDIA Training and Certification Learning Paths 2026
Published May 2026 by NVIDIA Corporation. Author: Kehong Lu.
What This Document Is
A comprehensive guide to NVIDIA’s training and certification ecosystem. Organised by audience (Developers vs. Infrastructure Professionals) and by topic. Each learning path lists individual courses with duration and cost.
Certification Tiers
NVIDIA offers two certification tiers:
- Associate — entry-level. One-hour exam. Digital badge. Cost: USD 125.
- Professional — advanced. Two-hour exam. Digital badge. Cost: USD 200–400.
All certifications are based on NVIDIA hardware and software solutions.
Learning Paths for Developers
Associate Certifications
| Certification | Topic Area |
|---|---|
| NVIDIA-Certified Associate — Generative AI LLM | Generative AI / LLMs |
| NVIDIA-Certified Associate — Accelerated Computing | GPU Computing |
| NVIDIA-Certified Associate — Generative AI Multimodal | Multimodal AI |
| NVIDIA-Certified Associate — Agentic AI | Autonomous AI Agents |
| NVIDIA-Certified Associate — Accelerated Data Science | GPU-accelerated Data Science |
Professional Certifications
| Certification | Topic Area |
|---|---|
| NVIDIA-Certified Professional — Generative AI LLM | Generative AI / LLMs |
| NVIDIA-Certified Professional — Agentic AI | Autonomous AI Agents |
| NVIDIA-Certified Professional — Computer Vision and Video Analytics | CV / Video AI |
| NVIDIA-Certified Professional — Data Science | Accelerated Data Science |
| NVIDIA-Certified Professional — Deep Learning | Neural Network Training |
| NVIDIA-Certified Professional — Accelerated Data Science | GPU Data Pipelines |
| NVIDIA-Certified Professional — OpenUSD Development | 3D Pipeline / Digital Twins |
Domain-Specific Training Tracks
- OpenUSD — 3D scene description. Foundation for industrial digital twins. All courses free. Professional cert available (USD 200).
- Robotics — Isaac ROS / Isaac Lab / Omniverse. Heavy simulation-to-reality focus. 28-hour Robotics Foundations learning path, all free.
- Physical AI — NVIDIA Cosmos. Training physical-world AI agents in simulation.
- Industrial Digital Twins — Omniverse-based. USD 30–90 courses. Combines OpenUSD + Physics + AI.
Learning Paths for Infrastructure Professionals
| Track | Associate | Professional |
|---|---|---|
| AI Infrastructure and Operations | Associate cert (7h training + 1h exam) | AI Infrastructure (20h) + AI Operations (24h) |
| AI Networking | Fundamentals + InfiniBand + Cumulus | BlueField DPU + Spectrum-X |
Costs: Public training USD 1,000–3,500. Self-paced courses USD 50–100. Exams USD 125–400.
Key Mapping: NVIDIA × Regenerative Communities
| NVIDIA Training Track | RegenNeighbourhood Application |
|---|---|
| Agentic AI (multi-agent workflows) | Autonomous monitoring systems for water / soil / energy |
| Generative AI / RAG | Community knowledge base, localised LLM |
| Physical AI / Robotics | Farm automation, polyculture robotics |
| Digital Twins / OpenUSD | Simulation of neighbourhood systems (water flow, energy balance) |
| Industrial IoT / AI Operations | Edge node fleet management, OTA updates |
| AI Infrastructure | Edge computing on HP EliteBook base stations |
| Jetson Nano / Edge AI | Field sensors with GPU inference |
Notable Courses for Community Use
| Course | Duration | Cost | Relevance |
|---|---|---|---|
| Fundamentals of Accelerated Computing with CUDA C/C++ | 8h | $90 | Core GPU concepts |
| Building RAG Agents with LLMs | 8h | $90 | Community knowledge graph |
| Introduction to NVIDIA NIM Microservices | 2h | Free | Pre-built inference containers |
| Robotics Fundamentals Learning Path | 28h | Free | Farm automation foundation |
| OpenUSD Foundations Learning Path | 11h | Free | 3D digital twin foundation |
| Decentralized AI at Scale with NVIDIA FLARE | 4h | Free | Federated learning for privacy |
| Building Real-Time Video AI Applications | 8h | $90 | Wildlife / security monitoring |
Certification Exam Structure
Associate: 1 hour. Professional: 2 hours. Both available online via Pearson VUE. Digital badges issued on passing.
References
- Source PDF:
nvt-learning-learning-path-developers-it-administrators---461519a7-e633-4529-842e-8fdc4436551e.pdf - NVIDIA Training Portal: developer.nvidia.com/education