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Samsung to train over 100 UAE residents in AI and machine learning

The initiative aligns with UAE's National Strategy for Artificial Intelligence 2031, which seeks to transform the UAE into a world leader in AI.

Samsung to train over 100 UAE residents in AI and machine learning
[Source photo: Anvita Gupta/Fast Company Middle East]

AI evolution is driving unprecedented demand for AI skills in the Middle East, especially in countries like the UAE, where digital transformation is accelerating. Samsung Gulf Electronics, in partnership with the UAE’s Office of AI and the National Programme for Coders, has announced the final list of 108 candidates for the second edition of the Samsung Innovation Campus, shortlisted from an initial pool of 780 youth applicants representing 20 nationalities from across the UAE.

The initiative aligns with UAE’s National Strategy for Artificial Intelligence 2031, which seeks to transform the UAE into a world leader in AI by investing in people and industries that are key to mission success, the company said in a statement. 

The three-month virtual course will provide a platform for determined learners with a STEAM background to build on their knowledge of machine learning (ML) and establish a strong understanding of AI fundamentals and its related applications. AI experts Christophe Zoghbi and Mrad Sleiman will teach and mentor the students as part of the program. 

“Samsung is committed to supporting these goals by leveraging our expertise and technologies. I congratulate the final 108 candidates and look forward to creative ideas to drive our society forward”, Shafi Alam, Head of Direct to Consumer Business & Corporate Marketing at Samsung Gulf Electronics, said. 

The course’s specialized curriculum defines the key tools and applications in AI and machine learning-related workplaces. Following an introduction to AI and ML, successful applicants will benefit from interactions with an expert instructor through live online sessions on technical processes of AI, which will be followed by short exercises designed to assess the learner’s progress. The course will be delivered through a blended learning format of live interactive sessions and self-paced learning. Learners will have access to content presentations and pre-recorded instructional videos covering statistics, algorithms, and programming to empower their learning journey.

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