Framework · Section 7
Each course is developed as a controlled, competency-oriented academic and TVET document — not a simple topic list — following the AI-TVET 20-component course architecture.
C1
Priority 1 of 4
Scope
Fundamentals, application scenarios, tools and use cases across industries. Provides the shared conceptual foundation for downstream specialisation.
Expected outcome
Ability to describe, evaluate and support the deployment of AI-enabled solutions in workplace contexts.
C2
Priority 2 of 4
Scope
Programming fundamentals, data handling, libraries, integration patterns and packaging for real-world application development.
Expected outcome
Ability to build and maintain Python-based components used within AI application pipelines.
C3
Priority 3 of 4
Scope
Deployment, monitoring, maintenance, troubleshooting, service continuity and lifecycle operations for AI-enabled systems.
Expected outcome
Operational support capability for AI-enabled systems and services.
C4
Priority 4 of 4
Scope
Image acquisition, cameras, lighting, preprocessing, feature extraction, detection, inspection and industrial integration.
Expected outcome
Ability to implement and support basic machine vision applications.
Graduate profiles