HANDS-ON TRAINING

Get started with deep learning and accelerated computing.

TRAINING AT GTC

Get the hands-on experience you need to transform the future of AI and accelerated computing with the NVIDIA Deep Learning Institute (DLI).

Through hands-on instructor-led and self-paced training, you'll learn how to apply deep learning to solve the world’s most challenging problems in autonomous vehicles, digital content creation, healthcare, finance, and more. Plus, we're offering AI and CUDA Python certification to those who attend our pre-conference, full-day workshops.

DLI WORKSHOPS

Choose from one of six DLI hands-on workshops on Sunday, March 17, led by DLI certified instructors. At the end of the workshop, attendees can earn certification of competency by completing the built-in assessment.

Space is limited. Purchase a GTC Workshop Pass to attend. (Note: DLI Workshop Pass does not grant you access to instructor-led training during the week of GTC. You will need to purchase a Conference & Training pass.)

FUNDAMENTALS OF DEEP LEARNING FOR COMPUTER VISION

Prerequisites: Familiarity with the basic programming, fundamentals such as functions and variables
Assessment Type: Code-based
Frameworks: Caffe, DIGITS
Certification available

Explore the fundamentals of deep learning by training neural networks and using results to improve performance and capabilities.You'll learn how to solve real-world problems using deep learning.

FUNDAMENTALS OF DEEP LEARNING FOR NATURAL LANGUAGE PROCESSING

Prerequisites: Basic experience with neural networks and Python programming, familiarity with linguistics
Assessment Type: Code-based, multiple choice
Frameworks: TensorFlow, Keras
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.

FUNDAMENTALS OF DEEP LEARNING FOR MULTI-GPUS

Prerequisites: Experience with stochastic gradient descent mechanics
Assessment Type: Code-based
Frameworks: TensorFlow
Certification available

Explore how to use multiple GPUs to train neural networks for AI applications with large computational requirements, significantly shortening the time required to train lots of data.

DEEP LEARNING FOR INTELLIGENT VIDEO ANALYTICS

Prerequisites: Basic experience with deep neural networks (specifically variations of CNNs) and intermediate-level experience with C++ and Python
Assessment Type: Code-based
Frameworks: TensorFlow
Certification available

Smart cities collect huge amounts of video footage that require advanced deep learning techniques to transform data into actionable insights. Learn how to deploy object detection and neural networks to work on real-time, large-scale video streams.

DEEP LEARNING FOR ROBOTICS

Prerequisites: Basic experience with CNNs, circuits, and hardware
Assessment Type: Code-based, multiple choice
Frameworks: Details coming soon
Certification available

Explore how to create robotic solutions on an NVIDIA Jetson for embedded applications by applying computer vision models to perform detection and training a robot to actuate the correct output.

FUNDAMENTALS OF ACCELERATED COMPUTING WITH CUDA PYTHON

Prerequisites: Basic Python competency including familiarity with variable types, loops, conditional statements, functions, and array manipulations. NumPy competency including the use of ndarrays and ufuncs. CUDA programming knowledge is not required.
Assessment Type: Code-based
Certification available

Explore how to use Numba—the just-in-time, type-specializing Python function compiler—to create and launch CUDA kernels to accelerate Python programs on massively parallel NVIDIA GPUs.

INSTRUCTOR-LED TRAINING

Join instructor-led training sessions on AI and accelerated computing from Monday through Thursday. Led by DLI certified instructors, these two-hour training sessions will teach you how to apply specific concepts or techniques to your work.

Purchase a Conference & Training pass to attend. Remember to reserve your seat by adding the session to your schedule on the GTC app.

SELF-PACED TRAINING

Get started with self-paced training in deep learning and accelerated computing. DLI gives you access to a fully configured, GPU-accelerated workstation in the cloud, complete with software tools, neural networks, and datasets.

Self-paced training is open to all attendees during show hours on Monday through Thursday. No Conference & Training pass required.

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.