📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of AI in Diagnostic & Medical Devices, from foundations to a certified capstone project.
Outline
Introduction to AI in Diagnostics • Workflow of AI-Enabled Devices • Adoption Drivers and Common Pitfalls
Outline
Types of Data in Diagnostic Systems • Data Quality and Preprocessing • Ground Truth and Reference Standards
Outline
Detection and Classification • Segmentation and Measurement Support • Anomaly Detection and Fault Monitoring
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Core Performance Metrics • Calibration and Thresholds • Contextual Performance Reporting
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Validation Strategy • Workflow Integration • Building Trust in Deployment
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Failure Modes and Safe Design • Alarm Management and Reliability • Incident and Corrective Action Planning
Outline
Drift and Data Shift • Ongoing Performance Oversight • Controlled Updates and Change Management
Earn government-registered certification in AI in Diagnostic & Medical Devices
e-Certificate and e-Marksheet issued on successful completion.
