Topics & learning outcomes
Practical learning, shaped around your audience.
These themes can be adapted for an introductory session, a focused workshop, or a longer faculty development programme.
Generative AI for Educators
Make AI a thoughtful part of teaching, assessment, and everyday academic work.
For faculty, teacher educators, and academic leaders
- Design an AI-assisted learning activity
- Evaluate AI output and preserve learner agency
From the archive: Capstone Project: Designing an AI Enabled Teaching and Learning Module
Prompt Engineering and Custom GPTs
Turn a loosely framed question into a useful, repeatable interaction with AI.
For educators, learners, and knowledge professionals
- Structure prompts with context and constraints
- Prototype a custom tutor or task assistant
From the archive: Prompt Engineering and Generative AI for MSME Business Productivity and Decision Making
Agentic AI and Automation
Understand how tools, reasoning, and human review come together in intelligent workflows.
For researchers, developers, and institutional teams
- Map a multi-step workflow
- Identify where human approval and evaluation matter
From the archive: Agentic AI for MSME Business Automation: AI Agents, Codex and Intelligent Workflows
AI for Academic Research
Use AI carefully across literature discovery, research questions, and scholarly writing.
For research scholars, faculty, and postgraduate learners
- Build an evidence-led literature workflow
- Check citations and assess research outputs
From the archive: AI Tools for Academic Research: Literature Review, Research Gap Identification, and Research Question Formulation
Responsible AI and Private LLMs
Explore practical boundaries around privacy, reliability, and institutional AI adoption.
For institutional leaders, faculty, and technical teams
- Recognize privacy and hallucination risks
- Compare public and private AI deployment choices
From the archive: Reusable AI for Business: Custom GPTs, Projects, Skills, Research Tools and Private LLMs
AI for Business and Workplace Productivity
Apply Generative AI to communication, analysis, and everyday professional tasks.
For industry professionals, administrators, and leadership teams
- Identify a useful AI workflow
- Evaluate results against a real work requirement
From the archive: Designing Custom AI Assistants for Everyday Productivity
Graph Neural Networks and Advanced AI
Connect graph foundations with representation learning and problems in real-world networks.
For computer science students, researchers, and developers
- Reason about graph structure and representation
- Connect foundational ideas with research applications
From the archive: Convolutional Neural Networks: Foundations, Architectures, and Applications