Program Outline
Getting Started With Deep Learning
This NVIDIA DLI course explores the fundamentals of deep learning by training neural networks and using results to improve performance and capabilities. It is a structured entry point for teams building AI skills before moving into more specialized model and deployment work.
Delivery
Virtual, On-site, or Hybrid
Duration
8 hours
Product
TensorFlow, Keras
Role
Developer, Data Practitioner
NVIDIA
FoundationsTensorFlow, Keras, neural networks
NVIDIA Deep Learning
Best Fit
Audience Profile
Who This Program Is For
Built for technical practitioners who want a structured introduction to deep learning concepts, model training, and performance improvement.
Overview
Program Summary
Official NVIDIA DLI foundational deep learning program focused on training neural networks and improving performance with TensorFlow and Keras.
Course Outline
Complete Module Sequence
Review the full module sequence for this program, including the primary topic coverage in each module where available.
1Module 1
Learn deep learning fundamentals
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Module 1
Learn deep learning fundamentals
Build a working understanding of neural networks, training workflows, and the key concepts that shape modern deep learning solutions.
- Deep learning foundations
- Training neural networks
2Module 2
Evaluate and improve model performance
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Module 2
Evaluate and improve model performance
Use results from model runs to interpret behavior, improve performance, and prepare for more advanced AI problem solving.
- Evaluating model performance
- Improving model capability
Coverage Areas
Topic Coverage
Coverage Item 1
Deep learning foundations
Coverage Item 2
Training neural networks
Coverage Item 3
Evaluating model performance
Coverage Item 4
Improving model capability
Customization
Adapt This Program for Your Team
We can adapt this program around your team structure, platform priorities, delivery goals, and the scenarios your people need to work through in practice.
- •Use your domain-specific introductory AI examples
- •Add a bridge module into computer vision, NLP, or generative AI
- •Extend into team learning pathways and role-based progression planning
