HANDS-ON
TRAINING IN AI

Explore courses in deep learning
and accelerated computing.

TRAINING AT GTC D.C.

Get the hands-on experience you need to transform the future of artificial intelligence and accelerated computing with the NVIDIA Deep Learning Institute (DLI). Learn how to apply deep learning to solve the world’s most challenging problems in government, defense, healthcare, and more.

Earn certification in full-day workshops, join instructor-led training sessions, and start self-paced training.

DLI WORKSHOPS

NVIDIA's DLI offers hands-on workshops led by DLI certified instructors at GTC conferences. At the end of the workshop, attendees can earn certification of competency by completing the built-in assessment.

FUNDAMENTALS OF DEEP LEARNING FOR COMPUTER VISION

FUNDAMENTALS OF DEEP LEARNING FOR COMPUTER VISION

Prerequisites: Basic technical background

Certification available.

Explore the fundamentals of deep learning by training neural networks and using results to improve performance and capabilities. In this workshop, you’ll learn how to implement common deep learning workflows and deploy neural networks to start solving real-world problems.

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FUNDAMENTALS OF DEEP LEARNING FOR NATURAL LANGUAGE PROCESSING

FUNDAMENTALS OF DEEP LEARNING FOR NATURAL LANGUAGE PROCESSING

Prerequisites: Basic experience with neural networks

Certification available.

Explore the latest techniques for understanding textual input using natural language processing (NLP). You’ll learn how to convert text to machine understandable representation and train Machine Translators from one language to another.

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DEEP LEARNING FOR HEALTHCARE IMAGE ANALYSIS

DEEP LEARNING FOR HEALTHCARE IMAGE ANALYSIS

Prerequisites: Basic familiarity with concepts of deep learning and convolutional neural networks

Certification available.

AI is transforming the healthcare industry, from real-time pathology assessment to point-of-care interventions to predictive analytics for clinical decision-making. Learn how to apply Convolutional Neural Networks (CNNs) to MRI scans to perform a variety of medical tasks and calculations. 

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FUNDAMENTALS OF ACCELERATED COMPUTING WITH CUDA C/C++

FUNDAMENTALS OF ACCELERATED COMPUTING WITH CUDA C/C++

Prerequisites: Basic C/C++ competency

Certification available.

The CUDA computing platform enables the acceleration of CPU-only applications to run on the world’s fastest massively parallel GPUs. In this workshop, you’ll learn how to accelerate and optimize existing C/C++ CPU-only applications using the most essential CUDA tools and techniques.

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INSTRUCTOR-LED TRAINING

Attendees can join instructor-led training sessions on deep learning and accelerated computing at GTC events. Led by DLI certified instructors, these two-hour training sessions will teach you how to apply specific concepts or techniques to your work. Previous training sessions include the following sessions:

MODELING TIME SERIES DATA WITH RECURRENT NEURAL NETWORKS IN KERAS

Prerequisites: Basic experience with deep learning

Explore how to use recurrent neural networks (RNNs) to classify or forecast time series data, such as natural language, markets, and even a patient's health over time.

DEPLOYMENT FOR INTELLIGENT VIDEO ANALYTICS USING TENSORRT

Prerequisites: Basic experience with CNNs and C++

Learn how to use TensorRT to accelerate inferencing performance for neural networks and ultimately, deploy neural networks for intelligent video analytics.

MEDICAL IMAGE CLASSIFICATION USING THE MEDNIST DATASET

Prerequisites: None

Learn how to apply convolutional neural networks (CNNs) to classify images in a medical imaging dataset.

SELF-PACED TRAINING

GTC attendees can get started on self-paced training. All GTC attendees are welcome. Past self-paced offerings include:

FUNDAMENTALS OF ACCELERATED COMPUTING WITH CUDA PYTHON

Prerequisites: Basic experience with Python and NumPy
Duration: 6 hours

Get hands-on with Numba - the just-in-time, type-specializing Pythong function compiler - to acelerate Python programs to run on massively parallel NVIDIA GPUs.

NEURAL NETWORK DEPLOYMENT WITH DIGITS AND TENSORRT

Prerequisites: Basic experience with neural networks
Duration: 2 hours

Learn to deploy deep learning to applications that recognize images and detect pedestrians in real-time.

IMAGE SEGMENTATION WITH TENSORFLOW

Prerequisites: Basic experience with neural networks
Duration: 2 hours

Explore how to segment MRI images to measure parts of the heart by experimenting with TensorFlow tools such as TensorBoard and the TensorFlow Python API.

WANT MORE TRAINING?

The NVIDIA Deep Learning Institute offers hands-on training for developers, data scientists, and researchers looking to solve the world’s most challenging problems with deep learning and accelerated computing. 

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