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. |