United Arab Emirates University

What you'll study

The syllabus covers:

• Basic AI concepts and problem‑solving methods
• Machine learning fundamentals
• Computer vision
• Natural language processing (NLP)
• Robotics
• Applications of AI in domains such as smart cities, healthcare, and cybersecurity
• Ethical implications and professional responsibilities in AI
• Hands‑on lab exercises and case studies using AI tools

Entry requirements

The course page does not list specific entry requirements; it is presented as a credit course (CENG110) within the university catalogue. Prospective students should consult the UAEU admissions or their programme advisor for enrolment eligibility and prerequisites.

Career prospects

The course builds foundational knowledge and practical skills useful for roles that involve applying AI techniques across industries. Typical directions include supporting work in smart city projects, healthcare analytics, cybersecurity applications, or continuing into deeper AI, machine learning, computer vision or robotics study at higher levels.

Scholarships & funding angle (general)

No funding details are provided on the course page. Students should review UAEU’s central scholarships and financial aid webpages or contact the university’s admissions and student finance offices to learn about available funding for credit courses and degree programmes.