Domain 1 — Essential AI Knowledge (38%)
The highest-weighted domain on the exam. Covers the NVIDIA software ecosystem, AI/ML/DL fundamentals, GPU vs CPU architecture, and the end-to-end AI development lifecycle.
Subdomains
| # | Topic | File |
|---|---|---|
| 1.1 | NVIDIA software stack in an AI environment | nvidia-software-stack |
| 1.2 | Training vs inference architecture requirements | training-vs-inference |
| 1.3 | AI vs ML vs DL | ai-ml-dl |
| 1.4 | Factors behind recent AI improvements/adoption | ai-adoption-drivers |
| 1.5 | Key AI use cases and industries | use-cases-industries |
| 1.6 | NVIDIA solutions: purpose and use cases | nvidia-solutions |
| 1.7 | AI development/deployment lifecycle software components | ai-lifecycle |
| 1.8 | GPU vs CPU architectures | cpu-vs-gpu |
Study tip: 1.6 and 1.8 have official NVIDIA course screenshots — review those slides carefully as the exam tests specific product names and capabilities.