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Technology / AI and automation

Nvidia Deep Learning Institute to train 100,000 devs in 2017

Nvidia has announced that it plans to train as many as 100,000 developers through the Nvidia Deep Learning institute in 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 it looks like Nvidia aims to be at the head of this push.

Nvidia deep learningGreg Estes, vice president of Developer Programs at NVIDIA said: “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.”

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Nvidia also announced that they would be widening the curriculum of the institution, including training courses that help developers better understand new and emerging fields and how deep learning can be used.

Some of these new fields include self-driving cars, healthcare, web services, robotics, video analytics and financial services.

The company has also patterned with Director of Facebook AI Research, Yann LeCun, to develop the Nvidia Deep Learning Institute Teaching Kit.

In addition to physical seminars, the coursework will also be delivered online using platforms such as Amazon Web Services and Goolge Qwiklabs. To date Nvidia has offered onsite training to such leading companies as Adobe and Alibaba.

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.”

“NVIDIA is a leader in the application of deep learning technologies and we’re excited to work closely with their experts to train the next generation of artificial intelligence practitioners.”

The Deep Learning institute is expected to begin this drive by training 2000 developers across 14 different labs at this years GPU Technology Conference.
This article is from the CBROnline archive: some formatting and images may not be present.