These courses are relevant for all academic staff.

W8. AI for Researchers
Academic

Level: Foundation | Prerequisite: None

Course Summary: Accelerate the research lifecycle responsibly. From literature reviews to grant writing assistance, this workshop explores tools designed specifically for the academic research community, with a heavy emphasis on data integrity and citation ethics.

W7. AI for Academic Assessments (AI after Class)
Academic

Level: Intermediate | Prerequisite: W1 or similar

Course Summary: The assessment landscape has changed. This critical course addresses two distinct needs: using AI to assist in providing feedback/grading (where policy allows), and redesigning assessments to be "AI-resilient" or "AI-inclusive," ensuring academic integrity is maintained.

W6. AI for Pedagogy & Practice (AI During Class)
Academic

Level: Intermediate | Prerequisite: W1 or similar

Course Summary: How do we teach with AI in the room? This workshop focuses on live teaching strategies. It equips educators with the confidence to run AI-assisted and AI-collaborative activities, facilitate discussions on critical AI usage, and manage the presence of AI tools during lectures and seminars.

W5. AI for Academic Content Creation (AI Before Class)
Academic

Level: Intermediate | Prerequisite: W1 or similar

Course Summary: Reduce lesson planning time while increasing creativity. This session explores how AI can act as a "teaching assistant," helping to generate lesson plans, differentiated learning materials, and engaging visual aids, allowing academics to focus more on student interaction.