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Surge in AI expertise forecast spurs NVIDIA to train 100,000 developers in Deep Learning by 2017

By Vijay Anand - on 9 May 2017, 9:00pm

Surge in AI expertise forecast spurs NVIDIA to train 100,000 developers on Deep Learning by 2017

5 years ago, no one was talking about deep learning or much about AI in general. Today, the increased processing capability at the edge devices and the cloud, combined with high speed connectivity are enabling distributed computing, machine learning and deep learning that all come together to deliver some aspects of AI. At the simplest form, increasingly your mobile phone and apps are learning your usage patterns and optimizing the device for your usage purposes, be it in increased performance, offering better suggestions for your daily routines and much more.

Looking ahead, IDC estimates 80% of all applications will have some form of an AI component by 2020. For this reason, NVIDIA established the NVIDIA Deep Learning Institute (DLI) in 2016 to target developers, would-be developers, data scientists and researchers with practical training on the use of the latest AI tools and technology such as object recognition, classification, training, neural network deployment and much more.

Even the GTC labs and training sessions from 2016 saw an overwhelming response to topics related to deep learning and AI.

To address the upswing in momentum for these two core topics, NVIDIA wants to set itself a new goal to train 100,000 developers with the relevant AI tools and expertise in 2017 – a figure that’s 10-fold of 2016’s achievement.

To meet this new goal, NVIDIA will be expanding the capabilities of the Deep Learning Institute through these initiatives:-

  • Broaden the institute’s curriculum: 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.

     
  • 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.

  • Porting lab content: NVIDIA is also working with Microsoft Azure, IBM Power and IBM Cloud teams to port lab content to their cloud solutions.

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