Current
Intermediate
Fundamentals of Deep Learning
NVIDIA Deep Learning Institute (DLI) · NVIDIA · Updated March 2026
Platform rating
4.5/5
AI Tutor Rating
8.3/10
Duration
8 hours
Classes
28
Hands-on deep learning course covering CNNs, data augmentation, transfer learning, and model training.
What you'll get
Train a deep learning model
Apply data augmentation and transfer learning
Work with CNN architectures
Fit
Best for
Developers
AI Engineers
Data Scientists
Technical Builders
Not ideal for
Learners seeking only entry-level overviews
Prerequisites & pricing
Prerequisites
Python basics and Pandas familiarity
Pricing
Contact for pricing
Certification
Certificate
Growth Leverage: Completing the Fundamentals of Deep Learning course positions you for roles such as Machine Learning Engineer, Data Scientist, or AI Researcher. It also sets a foundation for advanced certifications like NVIDIA's Deep Learning Specialization or TensorFlow Developer, enhancing career advancement opportunities.
Skills Value: Skills acquired in this course are in high demand, with roles in deep learning offering salaries averaging around $120,000 annually. Employers pay a premium for expertise in CNNs and transfer learning, essential for developing cutting-edge AI applications.
Deep learning
PyTorch
CNN