| Course | Description | Duration | Credits | Notional Hours | Target Audience |
| Certificate in AI Foundations | Introduces AI concepts, machine learning basics, data preprocessing, and Python for AI. Includes hands-on projects (e.g., simple predictive models). | 2 months (part-time, 6–8 hrs/week) | 5 | 250 | Students with basic IT/math skills; management students interested in data-driven decision-making. |
| Introduction to Machine Learning | Covers supervised/unsupervised learning, regression, classification, and clustering. Practical focus on tools like Python and TensorFlow. | 3 months (part-time, 8–10 hrs/week) | 6 | 300 | Students with programming basics; aspiring data analysts or AI practitioners. |
| AI for Business Applications | Explores AI in marketing, HR, and operations (e.g., chatbots, predictive analytics). Non-technical, case-study-based. | 1.5 months (part-time, 6 hrs/week) | 3 | 150 | Management students; those seeking to apply AI in business contexts. |