The Saudi Data and AI Authority announced new SDAIA training programs to expand artificial intelligence education across the Kingdom.
Specifically, this initiative targets 20,000 graduates by the year 2027. Meanwhile, the authority plans to open applications for these tracks next month through the national training portal.
Academic Partnerships in Riyadh and Jeddah
To implement this initiative, the authority established partnerships with universities in Riyadh and Jeddah. Consequently, these academic institutions will host the specialized tracks directly. Furthermore, the collaboration aims to build a strong foundation for local education and training in the technology sector. Notably, these partnerships will ensure high academic standards.
Specialized Tracks in SDAIA training programs
The initiative offers three distinct pathways for participants. Specifically, these pathways include machine learning, data engineering, and AI governance. In addition, each track focuses on practical skills required in the modern digital economy. As a result, graduates will gain expertise in managing complex data systems.
Alignment with Saudi Vision 2030
According to officials, these SDAIA training programs support the strategic goals of Saudi Vision 2030. Notably, the Kingdom aims to establish itself as a regional hub for technological development. As a result, developing local talent remains a priority for national authorities.
Application Process and Timeline
Prospective students can submit their applications starting next month. Meanwhile, the registration process will take place entirely through the official national training portal. Consequently, selected candidates will begin their specialized courses shortly after the selection phase. This portal provides a centralized platform for all applicants.
“The initiative supports Vision 2030 goals for building a digital economy and positions Saudi Arabia as a regional hub for AI talent development.”
SDAIA Officials
Ultimately, the expansion of SDAIA training programs represents a structured effort to increase national capabilities in advanced technologies. Moreover, the focus on machine learning and data engineering addresses specific market demands. Therefore, the initiative aligns with ongoing digital transformation efforts across various public and private sectors.
