UAE Bets Billions on AI Workforce as Enrollment Opens for Seventh Training Cohort

A government enrollment window, open now, marks the UAE’s most ambitious push yet to build homegrown artificial intelligence expertise. The Minister of State for Artificial Intelligence Office has launched registration for its seventh training cohort, a program running from September 2026 through January 2027 in partnership with the University of Birmingham.

The economic logic is direct. The UAE has set a policy target of transitioning 50 percent of government sectors, services and operations to Agentic AI-powered models within two years, a goal the government describes as the first of its kind globally. Training a workforce capable of executing that transition is, in effect, a capital allocation decision: invest in human capacity now or pay a higher price later in vendor dependency and implementation failures.

H.E. Omar Sultan Al Olama, Minister of State for Artificial Intelligence, framed the program in explicitly competitive terms. As AI systems grow more sophisticated, he argued, human expertise becomes the scarce resource that converts technological capability into operational decisions. The initiative, in his characterization, moves the UAE from technology adoption to technology leadership, with talent development serving as a direct investment in national competitiveness and sustainable growth.

The program’s structure reflects two distinct organizational needs. The Technical Track targets developers and engineers with advanced AI backgrounds, covering system architecture, programming, model development and experimental work. The Professional Track serves leaders, strategists and non-technical professionals, focusing on strategic deployment, governance frameworks, technology vendor evaluation and digital adoption planning. Organizations can build technical depth and strategic capability at the same time, rather than sequencing one after the other.

Curriculum content spans five specialized modules covering how Agentic AI systems are built, developed and governed, alongside foundational Generative AI concepts, data strategies for machine learning and cross-sector applications. The faculty roster draws from leading institutions: Professor Nigel Mehdi from Kellogg College at the University of Oxford; Professor Kashif Rajpoot, Professor of Medical AI at the University of Birmingham; Dr. David Johnson, Professor of Information Systems at Uppsala University in Sweden; and Dr. Farah Shamoot, Assistant Professor of Computer Engineering at NYU Abu Dhabi.

The program’s track record offers a concrete measure of return. Since launching, it has graduated more than 450 professionals from over 100 government and private-sector organizations. Alumni have moved into leadership roles, developed AI-powered institutional projects and built new models supporting more efficient government services. That output, across just six cohorts, represents a meaningful base of internal capability that reduces reliance on external consultants and technology vendors.

By contrast, the seventh cohort’s expanded emphasis on Agentic AI signals a deliberate shift in the government’s risk calculus. Autonomous systems that operate with reduced human intervention carry different governance requirements than earlier AI deployments. The curriculum’s attention to oversight mechanisms suggests the UAE is not simply racing toward automation but trying to manage the institutional risks that come with it.

Eligible participants include employees from government entities, semi-government organizations and private-sector companies. Registration details are available at https://www.zawya.com/en/press-release/government-news/registration-opens-for-the-seventh-cohort-of-the-uae-artificial-intelligence-program-464691, and interested candidates can contact [email protected] for enrollment information.

Whether the seventh cohort produces the same leadership pipeline as its predecessors, or accelerates it given the higher-stakes Agentic AI focus, will be a practical test of how quickly the UAE can convert training investment into operational transformation at scale.