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Course overview

A structured, hands-on programme designed to help beginners and early professionals use generative AI safely and effectively at work. The course covers fundamentals of large language models, practical prompting, verification and quality control, and real workflows for writing, analysis, presentations, customer support, and content creation. Participants will build a personal AI toolkit and deliver a capstone project demonstrating measurable productivity gains.

Target participants

  • Students and professionals who want to use AI tools for productivity and content creation
  • Marketing, operations, HR, and academic teams who need repeatable AI workflows
  • Entrepreneurs and managers seeking better decision support and faster execution

Prerequisites

  • Comfortable using common productivity tools (Google Workspace/Microsoft Office)
  • Willingness to practice and submit small tasks between ses

Tools & set-up requirements

  • Access to at least one AI assistant tool (e.g., ChatGPT or equivalent)
  • Google Docs/Sheets or Microsoft Word/Excel for workflow exercises
  • Optional: Image generation tool access for creative exercises
  • A shared folder for submissions and templates (provided)

Learning outcomes

By the end of the course, participants will be able to:

  1. Explain core concepts of generative AI and apply safe-use and ethics principles
  2. Write effective prompts using structure (role, task, context, constraints, examples) and iterative refinement
  3. Evaluate and verify AI outputs using source checking, triangulation, and risk controls
  4. Use AI to draft, edit, and standardize professional documents with consistent tone and structure
  5. Use AI for analysis: summarization, extraction, simple calculations, and insight generation (with verification)
  6. Create AI-assisted visuals and presentation narratives for business and education contexts
  7. Design a personal workflow library (prompt pack + templates) and measure time saved

Assessment & certification guidance

  • Micro-assignments after most sessions (10-30 minutes)
  • Capstone: a real workflow improved with AI (before/after, artefacts, and a short presentation)
  • Completion certificate based on capstone submission and participation

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