Teach the AI track: hands-on, laptops open, guided from zero. No lectures about AI. Doing with AI.
Co-build AI exercise playbooks with the central academic team and adapt them for your campus: the finance faculty teaching unit, economics with AI runs a playbook, not improvisation.
Help build better learning tools for STRIDE students across campuses: practice systems, automated feedback, and internal tools that make the programme itself smarter every semester.
Run guided labs: dashboard builds, automation sprints, agent deployments. Students leave each lab with something working.
Stay current so the programme stays current: tools change monthly, and your course material changes with them. What you teach in January will not be what you taught in August.
Mentor student projects: the Creator Challenge in Year 1 and the Venture Challenge in Year 2, both run on AI systems that students build under your guidance.
