Samsung Gulf Electronics has announced the final list of 108 candidates for the second edition of the Samsung Innovation Campus, shortlisted from a pool of 780 youth applicants representing 20 nationalities from across the UAE.
Held under the theme of 'Together for Tomorrow! Enabling People', the Innovation Campus brings Samsung's signature AI course in partnership with the UAE's Office of AI and the National Programme for Coders.
This 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 3-month virtual course kicked off on January 12. It will provide the perfect platform for determined learners with a STEAM background (science, technology, engineering, arts, and mathematics) to build on their knowledge of machine learning (ML) and establish a strong understanding of AI fundamentals and its related applications. Renowned AI experts Christophe Zoghbi and Mrad Sleiman will teach and mentor the students.
Shafi Alam, Head of Direct to Consumer Business & Corporate Marketing at Samsung Gulf Electronics said: "Artificial intelligence will impact every sector of our society. This evolution is driving unprecedented demand for AI skills in countries such as the UAE, where digital transformation is accelerating. As a long-term digital partner to the country's public and private sectors, 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."
The course's specialised curriculum defines the key tools and applications in AI and machine learning-related workplaces. Following an introduction to AI and machine learning, successful applicants will benefit from interactions with an expert instructor through live online sessions delivered to achieve a clear understanding of 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 made of the live interactive session and self-paced learning by which learners will have access content presentations and pre-recorded instructional videos covering statistics, algorithms, and programming to empower their learning journey.
By the end of the course, students will be able to understand the statistical and mathematical foundation of machine learning and comprehend the utility of Python and the libraries used for machine learning algorithms.
Furthermore, they will learn to apply these algorithms to real data sets and build projects while following the data science lifecycle. Participants will be expected to attend the entire course and complete the tasks and quizzes necessary to demonstrate their progress to achieve a certificate of completion.
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