NVIDIA’s DLI Reaches 120,000 Learners and Launches New Courses on Data Science 

NVIDIA’s Deep Learning Institute (DLI) announced this week that it has trained over 120,000 developers, researchers and data scientists in Artificial Intelligence, and specifically, in Deep Learning and GPU-Accelerated Computing.

Additionally, this organization is launching new instructor-led and self-paced online courses simultaneously to the upcoming GPU Technology Conference (March 17-21, San Jose).

Through its learning ecosystem, DLI will launch on March 17  two online, self-paced courses on Accelerating Data Science Workflows with RAPIDS and Data Science Workflows for Deep Learning in Medical Applications. 

These courses will also be offered as instructor-led sessions at the GTC Conference with a certificate of competency.

They will be part of a training program comprising of over 75 instructor-led training sessions, six full-day workshops, and self-paced training sessions with GPU-accelerated workstations running in the Microsoft Azure cloud.

NVIDIA’s DLI learning ecosystem is powered by IBL Education and partially uses Open edX technology.

 

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