Diplomas
Diploma in AI Ethics & Governance
The non-programming track every AI-adopting organisation needs
- Online
- Hybrid
- Employment rate: 82%
Fees
- Duration
- 12 months
- Total hours
- 400 training hours
- Credit hours
- 27
- Next intake
- 8 March 2027
Overview
This diploma requires no programming background, but gives you enough technical understanding to ask the right questions. You learn how bias creeps into models, how to audit a system whose code you do not own, and how to build a governance framework aligned with the Personal Data Protection Law and regulatory requirements. Graduates become the bridge between technology, risk and legal teams.
As regulation expands, AI governance roles have become among the fastest-growing positions globally and regionally.
Learning outcomes
- Build an organisational AI governance policy
- Audit an intelligent system and write an impact assessment
- Measure bias and offer realistic remediation recommendations
- Ensure AI projects comply with local regulations
- Negotiate contractual terms with AI vendors
Curriculum
Semester 1 — Technical & Ethical Grounding
Semester 2 — Governance, Audit & Capstone
Capstone project
You build a complete AI governance framework for a real organisation: a written policy, a risk matrix, and an impact assessment of a system already in use. It is a practical deliverable that can be adopted directly — several projects from previous cohorts were in fact adopted inside their workplaces.
Graduate projects galleryTarget roles
Admission requirements
- Bachelor's degree in any field, or equivalent professional experience
- No programming background required
- Passing the admission interview
Required documents
- ID or residency copy
- Bachelor's certificate or equivalent
- CV
Fees & instalments
22,000SAR
- Published fees include learning materials, assessment fees and the certificate.
- Diplomas can be paid in interest-free semester instalments; courses support monthly instalments via Tabby and Tamara.
- A merit scholarship of up to 30% for applicants with a high previous qualification average.
- mada
- Visa / Mastercard
- Apple Pay
- Tabby — instalments
- Tamara — instalments
- Bank transfer
Program faculty
Dr. Nora Alsaleh
Former data protection policy advisor; connects regulatory text to its practical effect on model design.
Dr. Hind Alamri
Researcher in Arabic computational linguistics who has built open Arabic datasets used by researchers across the region.
Eng. Bandar Alharthi
Has walked dozens of teams from idea to product; runs the mentoring programme and the bridge to investors and employers.
Frequently asked questions
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