ADVACNED DIPLOMA IN ARTIFICIAL INTELLIGENCE
AI is no longer a technology problem but a leadership opportunity. Both current and future global leaders who are, or aspire to be, involved in the application, management or governance of AI, should focus on evolving their leadership approach to maintain an advantage in the digital age. Failure to stay ahead of the curve could mean your organisation is left behind.
Course Modules:
Year 1:-
- IT Systems Development
- Programming and Scripting
- Data and Database Systems
- Computer Systems Networks and Security
- Legislation, Regulation, Ethics and Codes of Practice
- Introduction to Data Science
- Introduction to AI
- Data Structures and Algorithm
- Discrete Mathematics
- Synoptic Computing Project
Year 2:-
- Software Engineering
- Innovative Technologies in Computing
- Strategic Management Information Systems
- Computing Research Methods
- Linear algebra for Data Analytics
- Integral Calculus
- Machine learning with R Programming
- AI Capstone Project - 1
- Internship
Qualification number:
77301/4002/03
Examination:
3 hours Closed Examination
60 marks- Theory
40 marks- Practicals