Artificial Intelligence Software Testing and ML/Ops
| Course Code | COMP-315 |
|---|---|
| Lecture hours per week | 1 |
| Lab hours per week | 2 |
| Course Availability | Open |
| Description | This course equips students with the essential skills to build, test, and deploy trustworthy AI systems. It covers core methodologies for AI software testing, including validation for reliability, robustness, and ethics, and practical MLOps using tools like TFX and Airflow to automate scalable production pipelines. Students will learn to align development with ISO/IEEE and CMMI standards, address challenges of bias and explainability, and implement full lifecycle management with versioning, monitoring, and retraining. The hands-on focus prepares them to ensure the quality and governance of AI systems from design to deployment. |