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NVIDIA Launches its Deep Learning Insitute on the Open edX Platform to Train Engineers

The NVIDIA Deep Learning Institute (DLI) launched this week during its annual GTC conference in San Jose, California, a deeply integrated, distributed and built-to-scale Open edX ecosystem with custom labs for certified instructor-led training and self-paced courses.

The first course, Fundamentals of Deep Learning for Computer Vision, was opened on Sunday 25 during an eight hour, face-to-face training session for three hundred learners who used the edX code-based platform for assessments, exercises and laboratories while interacting in the room with peers and teacher assistants.

NVIDIA engineer and educator Mike Mendelson taught, along with two dozen assistants, this hands-on workshop, developed with the goal of providing the basics of deep learning by training and deploying neural networks.

A second course, Fundamentals of Accelerated Computing with CUDA C/C++, was also offered during the same day. Students learned, practiced and got certified on CUDA’s tools and techniques to accelerate CPU-only applications to run on massively parallel GPUs.

This uniquely blended model was praised by participants, mostly engineers, as a highly effective and engaging method of training. NVIDIA partnered with IBL Education to develop, scale and maintain the platform.

The two courses remained open as part of NVIDIA’s Deep Learning Institute’s catalog. In the following weeks, it will be enhanced with video lectures and other learning resources for tens of courses.

The Deep Learning Institute (DLI) currently offers hands-on training in deep learning and accelerated computing self-paced courses and instructor-led workshops designed to solve real-world problems.

DLI provides learners with a fully configured, GPU-accelerated workstation in the cloud, complete with software tools, neural networks, and datasets.

Update from our CTO, Miguel Amigot, one week after its release:

Conversation with the manager of the Deep Learning Institute’s platform:

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