NVIDIA announced the company plans to train as many as 100,000 developers through the Deep Learning institute over the course of this year (2017). According to NVIDIA, the surging demand for deep learning developers will require the company to train ten times as many developers as they did in 2016. IDC estimates that 80% of all applications will feature an AI component by 2020 and NVIDIA aims to be at the head of this push in the industry.
The Deep Learning institute has trained developers around the world at sold-out public events, at onsite training with companies such as Adobe, Alibaba and SAP, at government research institutions such as the U.S. National Institutes of Health, National Institute of Science and Technology, at the Barcelona Supercomputing Center, and at institutes of higher learning such as Temasek Polytechnic Singapore and India Institute of Technology, Bombay.
In addition to instructor-led workshops, developers have on-demand access to training on the latest deep learning technology using NVIDIA software and high-performance Amazon Web Services (AWS) EC2 P2 GPU instances in the cloud. More than 10,000 developers have already been trained by NVIDIA using AWS on the applied use of deep learning.
Greg Estes, vice president of Developer Programs at NVIDIA stated, “AI is the defining technology of our generation. To meet overwhelming demand from enterprises, government agencies and universities, we are dramatically expanding the breadth and depth of our offerings, so developers worldwide can learn how to leverage this transformative technology.”
NVIDIA is broadening the Deep Learning Institute’s curriculum to include the applied use of deep learning for financial services, healthcare, robotics, self-driving cars, video analytics and web services. Coursework is being delivered online using NVIDIA GPUs in the cloud through AWS and Google’s Qwiklabs and through instructor-led seminars, workshops and classes to reach developers across Asia, the Americas, and Europe. Currently, NVIDIA partners with Udacity to offer Deep Learning Institute content for developing self-driving cars. To meet its 2017 goal, NVIDIA is expanding the Deep Learning Institute through:
- New Deep Learning Training Labs: NVIDIA is working with Amazon Web Services, Facebook, Google, the Mayo Clinic, Stanford University, as well as the communities supporting major deep learning frameworks to co-develop training labs using Caffe2, MXNet and TensorFlow.
- New Courseware for Educators: NVIDIA has partnered with Yann LeCun, director of AI research at Facebook and computer science professor at New York University, to develop the DLI Teaching Kit, which covers the academic theory and application of deep learning on GPUs using the PyTorch framework. Hundreds of educators are already using the DLI Teaching Kit, including the University of Oxford and the University of California, Berkeley.
- New DLI Certified Training Partners: NVIDIA is expanding the Deep Learning Institute ecosystem by providing materials and certifying instructors from Hewlett Packard Enterprise, IBM and Microsoft.
Christian Plagemann, vice president of Content at Udacity said: “There is a real demand for developers who not only understand artificial intelligence, but know how to apply it in commercial applications.”
Deep Learning Institute hands-on labs are taught by certified expert instructors from NVIDIA, partner companies and universities. Each lab covers a fundamental tenet of deep learning, such as using AI for object detection or image classification; applying AI to determine the best approach to cancer treatment; or, in the most advanced courses, using technologies such as NVIDIA DRIVE™ PX 2 and DriveWorks to develop autonomous vehicles.
In 2007/2008, NVIDIA Launched CUDA with the Tesla generation of graphics processors (G80/G92). The key to CUDA’s success was the rapid adoption among universities stimulating the creation of parallel programming, which was considered “voodoo art” at the time. Today, the 2008 generation of developers don’t think in one (core) dimension. Can an initiative like the Deep Learning Institute help promote the new generation of AI/IoT/VR/AR applications? We would take that bet.