Key academic criteria and institutional parameters
Module breakdown covered during the academic term
| # | Subject / Examination Paper | Max Marks |
|---|---|---|
| 01 | Introduction to Artificial Intelligence | 25 Marks |
| 02 | Introduction to Machine Learning | 25 Marks |
| 03 | Fundamentals of TinyML | 25 Marks |
| 04 | Applications of TinyML | 25 Marks |
| 05 | AI Essentials For Business | 50 Marks |
| 06 | Project & Practical | 50 Marks |
| Total Examination Marks: | 200 Marks | |
Professional roles and industry sectors for graduates
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