All courses

AI Literacy

The core ideas behind AI tools at work: model, prompt, context, tokens, hallucination, grounding and agents, how to judge an output, what data is safe to share, the laws, frameworks and standards around AI use, and the working habits that keep it sound.

AI Literacy

Use GitHub Copilot, with Cursor AI and Claude Code compared, to build real interfaces faster without losing accessibility, responsiveness or your own judgement: prompt for design to code, read and fix what comes back, build semantic HTML, CSS and Bootstrap layouts, JavaScript forms, React compone…

AI Literacy

Use Microsoft Copilot, and a small set of other AI tools, across real healthcare and insurance work: claims triage, underwriting risk factors, fraud signals, hospital administration and patient engagement.

AI Literacy

Use AI across the whole testing lifecycle: draft test cases, scripts and defect reports with Microsoft Copilot, generate synthetic test data with Google AI Studio, manage requirements with NotebookLM, visualise coverage with Napkin AI, automate a real browser with Playwright, orchestrate workflow…

AI Literacy

Build MongoDB, Express, React and Node.js applications faster with GitHub Copilot and other AI tools: prompt with the right context, keep up with library changes, build secure APIs and React screens, test, review and ship through GitHub Actions, and supervise coding agents with clear limits.

AI Literacy

A faculty and management development programme for using AI across a university: plan lessons, outcomes and Bloom’s Taxonomy aligned assessments, draft documents, presentations and communication with Microsoft 365 Copilot, speed up literature reviews, research writing and accreditation reporting,…