The UAE Government’s Artificial Intelligence Office and Samsung Gulf Electronics announced on 7 October that registration had opened for Samsung Innovation Campus 2026. WAM reports that this edition adds a dedicated generative-AI learning track. Samsung’s programme page limits eligibility to UAE nationals aged 18–29; completion of high-school-level STEM courses and basic programming knowledge are also among the selection criteria. The announcement is therefore a course offer for a defined group by age, nationality and prerequisites, rather than a general training programme open to all young people.

Samsung lists applications from 28 September to 16 October 2026, with online sessions scheduled to run from 19 October 2026 through 23 January 2027. The company describes the course as 400 hours over about three months. Its subjects include generative AI, Python programming and libraries, probability and statistics, machine learning and deep learning. These dates and hours describe the planned course and application window; they do not show how many people were admitted, completed the training or found work. Samsung also says places are limited and that access to the free course depends on completing all admissions steps.

WAM describes a learning path from foundations to advanced applications, combining expert-led sessions, self-paced study, practical work and projects based on real-world challenges. Samsung’s page says the course will be delivered online. That format can make participation easier for people with work or location constraints, while a 400-hour commitment still requires substantial regular study time. Learning outcomes will depend on participants’ starting skills, attendance, project assessment and post-course hiring demand. The announcement does not report these as measured outcomes, so the employment effect for course completers cannot yet be calculated.

The programme links a company’s global corporate-responsibility initiative with a federal office. For public evaluation, the key outcome is not registration alone but the share of eligible applicants admitted, the share completing the course and whether graduates use the skills in real projects. Measuring labour-market effects would also require indicators such as graduates’ occupation, time to employment and wage changes, alongside a comparison group that did not receive similar training. Without those data, a strong causal claim about the programme’s contribution to national AI capacity would be premature. What can be said now is that the 2026 edition has been announced with generative AI in its curriculum and a defined application period.