Global graphic processing giant NVIDIA plans to train 100,000 developers in 2017 on artificial intelligence (AI), said a statement. “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,” said Greg Estes, vice president of developer programs at NVIDIA.
The NVIDIA Deep Learning Institute provides developers, data scientists and researchers with practical training on the use of the latest AI tools and technology. According to company, the institute has trained developers around the world at sold-out public events and onsite training at private companies, university and government organisations.
NVIDIA informed that in addition to instructor-led workshops, developers have on-demand access to training on the latest deep learning technology, using NVIDIA software and 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,” said company.
NVIDIA is broadening the Deep Learning Institute’s curriculum to include the applied use of deep learning for self-driving cars, healthcare, web services, robotics, video analytics and financial services. Coursework is being delivered online using NVIDIA GPUs in the cloud through Amazon Web Services and Google’s Qwiklabs, as well as through instructor-led seminars, workshops and classes to reach developers across Asia, Europe and the Americas. NVIDIA currently partners with Udacity to offer Deep Learning Institute content for developing self-driving cars.
“There is a real demand for developers who not only understand artificial intelligence, but know how to apply it in commercial applications,” said Christian Plagemann, vice president of Content at Udacity.
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.
To meet its 2017 goal, NVIDIA is expanding the Deep Learning Institute through. It 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.
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.
NVIDIA is expanding the Deep Learning Institute ecosystem by providing materials and certifying instructors from Hewlett Packard Enterprise, IBM and Microsoft.
NVIDIA is also working with Microsoft Azure, IBM Power and IBM Cloud teams to port lab content to their cloud solutions, said company.
Analyst firm IDC estimates that 80% of all applications will have an AI component by 2020.
