A training program covering modern machine learning and deep learning concepts and their applications in data processing and the development of intelligent solutions.

A technology bootcamp designed to develop participants’ skills in artificial intelligence, data analytics, and emerging technologies while building future-ready capabilities.

A training bootcamp focused on using artificial intelligence technologies to design prototypes and transform ideas into practical technology solutions.

The Data Office promotes a culture of data-driven decision-making by improving data quality, developing indicators and analytics, and using them to enhance institutional performance.

The Data Office highlights the importance of using artificial intelligence technologies responsibly and ethically while promoting the principles of governance, transparency, and trust.

The Data Office emphasizes the importance of determining the data classification and verifying the purpose, recipient, and access permissions before sharing data to ensure its secure use in accordance with approved policies.

Data quality begins with entering accurate, complete, and up-to-date information. The commitment of all University personnel to data quality practices helps ensure reliable data that supports decision-making.

The Data Office encourages all University personnel to protect personal data, share it only through approved channels, and comply with all relevant policies and regulations.

The “Itqan” Platform supports business organization, task and project tracking, operational efficiency, and improved institutional oversight.

The “Bayan” Platform provides indicators and analytics that help University leaders monitor performance and make data-driven decisions.