Diplomas
Diploma in NLP & Generative AI
Build systems that understand and generate Arabic at production quality
- On campus
- Online
- Hybrid
- Employment rate: 89%
Fees
- Duration
- 12 months
- Total hours
- 460 training hours
- Credit hours
- 31
- Next intake
- 15 February 2027
Overview
Most educational content in this field targets English, while Arabic carries its own challenges: diacritics, dialects and rich morphology. This diploma addresses that head on. You learn to build reliable retrieval-augmented systems, evaluate model outputs methodically rather than by impression, and design guardrails that stop a model from saying what it should not.
Almost every organisation is building an AI assistant today, and demand for people who handle Arabic technically clearly exceeds supply.
Learning outcomes
- Build a retrieval-augmented system that performs accurately on Arabic content
- Evaluate language model outputs against objective metrics
- Design guardrails that block undesired outputs
- Build agents that call external tools safely
- Adapt a language model to a specialised domain
Curriculum
Semester 1 — Language & Model Foundations
Semester 2 — Production Systems & Capstone
Capstone project
You build an Arabic AI assistant for a real use case — customer service, an internal assistant, or a document search tool — and deploy it with an evaluation report that states its accuracy and limits honestly. Being candid about the system's limits is part of the grade.
Graduate projects galleryTarget roles
Admission requirements
- Basic programming background
- Strong Arabic reading and writing
- Passing the admission interview
Required documents
- ID or residency copy
- Latest qualification certificate
- Personal photo
Fees & instalments
28,000SAR
- 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. Hind Alamri
Researcher in Arabic computational linguistics who has built open Arabic datasets used by researchers across the region.
Eng. Abdullah Alzahrani
Built Arabic AI assistants for government entities and service companies; focused on rigorous output evaluation rather than demos.
Dr. Nora Alsaleh
Former data protection policy advisor; connects regulatory text to its practical effect on model design.
Frequently asked questions
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