SANTA CLARA — In response to the skyrocketing demand for expertise in artificial intelligence (AI), NVIDIA (NASDAQ: NVDA) has unveiled ambitious plans to train 100,000 developers in deep learning throughout 2017, marking a tenfold increase from the previous year. The initiative, spearheaded by the NVIDIA Deep Learning Institute, aims to equip developers, data scientists, and researchers worldwide with practical training on the latest AI tools and technology to meet the growing needs of enterprises, government agencies, and educational institutions.

Analyst firm IDC forecasts that by 2020, 80 percent of all applications will incorporate an AI component, underscoring the critical importance of preparing developers for the AI-driven future. The NVIDIA Deep Learning Institute has already made significant strides in training developers globally through sold-out public events and tailored onsite training sessions at prominent organizations, including Adobe, Alibaba, and SAP. Government research institutions and academic establishments, such as the U.S. National Institutes of Health and India Institute of Technology, Bombay, have also benefited from the institute’s comprehensive training programs.

Greg Estes, Vice President of Developer Programs at NVIDIA, emphasized the transformative potential of AI, stating, “AI is the defining technology of our generation.” To accommodate the burgeoning demand for AI expertise, NVIDIA has expanded the Deep Learning Institute’s curriculum to encompass diverse applications, including self-driving cars, healthcare, robotics, and financial services. Leveraging NVIDIA GPUs in the cloud via Amazon Web Services and Google’s Qwiklabs, developers have access to on-demand training on deep learning technology.

NVIDIA’s strategic partnerships with leading organizations such as Udacity and Facebook have further bolstered its training efforts. Through collaborations with experts like Yann LeCun, Director of AI Research at Facebook, NVIDIA has developed the DLI Teaching Kit, covering the theoretical foundations and practical applications of deep learning using the PyTorch framework. Hundreds of educators, including prestigious institutions like the University of Oxford and the University of California, Berkeley, are already leveraging this resource to educate the next generation of AI practitioners.

As part of its expansion plans, NVIDIA is collaborating with industry giants like Amazon Web Services, Facebook, and IBM to co-develop training labs and certify instructors from Hewlett Packard Enterprise, IBM, and Microsoft. The Deep Learning Institute’s commitment to fostering AI expertise is further underscored at this week’s GPU Technology Conference, where it will offer 14 different labs and train over 2,000 developers on the applied use of AI.

With the demand for AI talent showing no signs of slowing down, NVIDIA’s proactive approach to developer training is poised to drive innovation and accelerate the adoption of AI across industries worldwide. For more information on course offerings and registration, visit www.nvidia.com/dli. Instructors seeking access to teaching kits can visit www.developer.nvidia.com/teaching-kits, while inquiries can be directed to NVDLI@nvidia.com.