5 November 2024, Tue |
12:04 PM
Samsung Gulf Electronics 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 Innovation Campus, in collaboration with the UAE’s Office of AI and the National Programme for Coders, presents Samsung’s flagship AI course to the event, which has the slogan “Together for Tomorrow! Enabling People”. This programme is in line with the UAE’s National Strategy for Artificial Intelligence 2031, which aims to establish the UAE as a global leader in AI through investments in the businesses and individuals that are essential to the achievement of the objective.
The virtual course which is 3 months long started on January 12, 2023. The course will give the right platform for determined learners with a STEAM background (science, technology, engineering, arts, and mathematics) to create their knowledge of machine learning and make a bold understanding of AI fundamentals and its adjacent applications. The students will be mentored by Renowned AI experts Christophe Zoghbi and Mrad Sleiman.
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 primary tools and applications used in professions related to AI and machine learning are defined by the course’s specialised curriculum. Successful applicants will gain from interactions with an expert instructor through live online sessions delivered to achieve a clear understanding of the technical processes of AI. These sessions will be followed by brief exercises designed to gauge the learner’s progress after an introduction to AI and machine learning. The course will be taught using a blended learning approach that combines live interactive sessions with self-paced learning, giving students access to presentations of course material and instructional films that have already been filmed on topics like statistics, algorithms, and programming.
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.
