Current
Intermediate
Getting Started with Deep Learning
NVIDIA Deep Learning Institute (DLI) · NVIDIA · Updated March 2026
Platform rating
4.6/5
AI Tutor Rating
8.6/10
Duration
8 hours self-paced
Classes
24
Self-paced course covering deep learning fundamentals, neural network training, and practical model building with hands-on GPU labs.
What you'll get
Train neural networks from scratch
Apply data augmentation and transfer learning
Evaluate and improve model performance
Deploy trained deep learning models
Fit
Best for
Developers
AI Engineers
Data Scientists
Technical Builders
Not ideal for
Learners seeking only entry-level overviews
Prerequisites & pricing
Prerequisites
Basic Python knowledge
Pricing
$90
Certification
Certificate
Growth Leverage: Completing this course positions you for roles such as Deep Learning Engineer, Machine Learning Specialist, or AI Researcher. It also prepares you for certifications like NVIDIA's Deep Learning AI Certification, enhancing job prospects in organizations focused on AI and data-driven solutions.
Skills Value: The hands-on experience with neural networks and model deployment addresses high-demand needs in industries like tech and healthcare, where professionals can command salaries upwards of $120,000. Employers value skills in data augmentation and transfer learning for optimizing AI applications, making these competencies highly marketable.
Deep Learning
Neural Networks
PyTorch
Transfer Learning