  Over the past two decades, High-Performance Computing (HPC) communities have
developed many models for delivering education aiming to help students
understand and harness the power of parallel and distributed computing. Most of
these courses either lack a hands-on component or heavily focus on theoretical
characterization behind complex algorithms. To bridge the gap between
application and scientific theory, NVIDIA Deep Learning Institute (DLI)
(www.nvidia.com/dli) has designed an on-line education and training platform
that helps students, developers, and engineers solve real-world problems in a
wide range of domains using deep learning and accelerated computing. DLI's
accelerated computing course content starts with the fundamentals of
accelerating applications with CUDA and OpenACC in addition to other courses in
training and deploying neural networks for deep learning. Advanced and
domain-specific courses in deep learning are also available. The online
platform enables students to use the latest AI frameworks, SDKs, and
GPU-accelerated technologies on fully-configured GPU servers in the cloud so
the focus is more on learning and less on environment setup. Students are
offered project-based assessment and certification at the end of some courses.
To support academics and university researchers teaching accelerated computing
and deep learning, the DLI University Ambassador Program enables educators to
teach free DLI courses to university students, faculty, and researchers.
