Deep Learning

Build practical deep learning skills for real-world AI applications.

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Gain hands-on experience with the tools and frameworks needed to build, optimize, and deploy models for AI solutions. Follow this learning path to advance your career and drive impactful AI projects.

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Deep Learning

Choose the Training That Best Matches Your Needs

Introduction to Neural Networks and Special Architecture

Building a Brain in 10 Minutes

Getting Started With Deep Learning

Introduction to Graph Neural Networks

AI for Monitoring, Prediction, and Automation for Large-Scale Systems

Applications of AI for Anomaly Detection

Applications of AI for Predictive Maintenance

Computer Vision for Industrial Inspection

Disaster Risk Monitoring Using Satellite Imagery

Applying AI Weather Models With NVIDIA Earth-2

Building Real-Time Video AI Applications

Medical AI Development With MONAI: Interactive Annotation Using NVIDIA NIM Microservices

Edge AI Applications

Getting Started With AI on NVIDIA Jetson Nano

Building High-Performance and AI-Enabled Sensor Processing Applications

AI Security Engineering and Federated ML

Digital Fingerprinting With NVIDIA Morpheus

Building AI-Based Cybersecurity Pipelines

Exploring Adversarial Machine Learning

Introduction to Federated Learning With NVIDIA FLARE

Decentralized AI at Scale With NVIDIA FLARE

Building Deep Learning-Based Anti-Fraud Applications (Chinese only)

AI-Powered Language and Speech Application

Introduction to Transformer-Based Natural Language Processing

Get Started With Highly Accurate Custom ASR for Speech AI

Building Conversational AI Applications

AI Model Training at Scale

Data Parallelism: How to Train Deep Learning Models on Multiple GPUs

Model Parallelism: Building and Deploying Large Neural Networks

Additional Resources

What Is Deep Learning?

What’s the Difference Between Artificial Intelligence, Machine Learning, and Deep Learning?

Deep Learning Examples on GitHub