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.
