NVIDIA Deep Learning Institute: Fundamentals of Deep Learning (DLI-FDL) Exam Blueprint

DLI-FDL

1Languages
Practice NVIDIA Deep Learning Institute: Fundamentals of Deep Learning on QuizForge

Exam Domains

1 Neural Network Fundamentals Weight not published
2 Convolutional and Recurrent Networks Weight not published
3 Training, Optimization, and Regularization Weight not published
4 Deployment with TensorRT and Triton Weight not published

Exam Details

Question TypesMultiple Choice, Hands-on Lab/Project Review
FormatOnline labs + project for DLI; proctored exam for NCP levels
Online ProctoringAvailable
ID RequirementsGovernment-issued photo ID for proctored exams. NVIDIA account required for DLI platform and certification records.
RenewalRequired -- Recertification every 2 years via continuing education, new exam, or updated training. NVIDIA regularly updates portfolio for new hardware (Blackwell, etc.) and software (CUDA 12+, TensorRT-LLM).
PrerequisitesNo specific prerequisites are mentioned, but the course is designed for professionals looking to enhance their skills and knowledge in the field of AI, accelerated computing, data science, advanced networking, graphics, simulation, and more. (recommended)
Retake PolicyVaries by exam level. DLI projects can often be resubmitted after feedback.
LanguagesEnglish

Official Study Resources

online courseFundamentals of Deep Learning