Course overview
AI concepts, Python fundamentals, local AI models and responsible experimentation.
Course code: AI-101 Proposed duration: 8 weeks Level: Beginner
Prerequisites: Basic computer literacy
Status: Curriculum in development; not open for enrollment.
Learning outcomes
- Explain and apply the core concepts covered in this subject
- Complete guided practical exercises in an appropriate test environment
- Document technical methods, findings and limitations
- Demonstrate understanding through a final project
Proposed weekly syllabus
- Week 1: Introduction to AI
- Week 2: Python essentials
- Week 3: Data and datasets
- Week 4: Machine learning concepts
- Week 5: Generative AI
- Week 6: Local model experiments
- Week 7: Testing and evaluation
- Week 8: Final AI project
Proposed assessments
- Weekly practice exercises and knowledge checks
- Practical lab documentation
- Final project with an assessment rubric
- Review of technical accuracy, safety and clarity
Final project
Build and evaluate a small AI assistant using public or synthetic data.
Course delivery and availability
This is a proposed curriculum outline, not a currently offered credential-bearing course. Tuition, instructor assignments, timetables, enrollment and formal assessment arrangements have not been established.