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NVIDIA (NASDAQ:NVDA) has announced an expansion of its Deep Learning Institute (DLI) that is currently training thousands of students, developers and data scientists with skills needed to apply artificial intelligence. As quoted in the press release: The expansion includes: New partnerships with Booz Allen Hamilton and deeplearning.ai to train thousands of students, developers and government …
NVIDIA (NASDAQ:NVDA) has announced an expansion of its Deep Learning Institute (DLI) that is currently training thousands of students, developers and data scientists with skills needed to apply artificial intelligence.
As quoted in the press release:
The expansion includes:
- New partnerships with Booz Allen Hamilton and deeplearning.ai to train thousands of students, developers and government specialists in AI.
- New University Ambassador Program enables instructors worldwide to teach students critical job skills and practical applications of AI at no cost.
- New courses designed to teach domain-specific applications of deep learning for finance, natural language processing, robotics, video analytics and self-driving cars.
“The world faces an acute shortage of data scientists and developers who are proficient in deep learning, and we’re focused on addressing that need,” said Greg Estes, vice president of Developer Programs at NVIDIA. “As part of the company’s effort to democratize AI, the Deep Learning Institute is enabling more developers, researchers and data scientists to apply this powerful technology to solve difficult problems.”
DLI – which NVIDIA formed last year to provide hands-on and online training worldwide in AI – is already working with more than 20 partners, including Amazon Web Services, Coursera, Facebook, Hewlett Packard Enterprise, IBM, Microsoft and Udacity.
Today the company is announcing a collaboration with deeplearning.ai, a new venture formed by AI pioneer Andrew Ng with the mission of training AI experts across a wide range of industries. The companies are working on new machine translation training materials as part of Coursera’s Deep Learning Specialization, which will be available later this month.
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