Big Data
NVIDIA's Deep Learning Institute to expand its educational offerings
Wednesday, May 10, 2017
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Austin Harris |
AI and deep learning courseware offerings to be improved by NVIDIA.
To meet surging demand for expertise in the field of AI, NVIDIA announced that it plans to train 100,000 developers this year - a tenfold increase over 2016 - through the Deep Learning Institute.
Analyst firm IDC estimates that 80 percent of all applications will have an AI component by 2020. The NVIDIA Deep Learning Institute provides developers, data scientists and researchers with practical training on the use of the latest AI tools and technology.
“AI is the defining technology of our generation,” said Greg Estes, vice president of Developer Programs at NVIDIA. “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 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.
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.
- New Deep Learning Training Labs: they are 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: they have 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: they are expanding the Deep Learning Institute ecosystem by providing materials and certifying instructors from Hewlett Packard Enterprise, IBM and Microsoft.
Analyst firm IDC estimates that 80 percent of all applications will have an AI component by 2020. The NVIDIA Deep Learning Institute provides developers, data scientists and researchers with practical training on the use of the latest AI tools and technology.
“AI is the defining technology of our generation,” said Greg Estes, vice president of Developer Programs at NVIDIA. “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 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.
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.
Expanding the Deep Learning Institute through:
- New Deep Learning Training Labs: they are 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: they have 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: they are expanding the Deep Learning Institute ecosystem by providing materials and certifying instructors from Hewlett Packard Enterprise, IBM and Microsoft.
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