Course Duration:
Half-day or full-day (can also be delivered as a 3-part virtual workshop series)
Target Audience:
Professionals in non-technical roles (e.g. executive assistants, HR, marketing, project managers, operations staff, trainers, and admin support) who want to use generative AI to enhance their work—without needing coding skills.
Course Objectives
By the end of this course, participants will be able to:
Understand what generative AI is and how it works in plain language.
Identify use cases relevant to their role or industry.
Use popular generative AI tools (like ChatGPT, Gemini, and Copilot) confidently.
Write effective prompts to get better, more relevant results.
Apply AI ethically and responsibly in the workplace.
Course Outline
Module 1: Demystifying Generative AI
What is generative AI? (Plain language explanation)
How AI models like ChatGPT, Copilot, and Gemini work
Examples of what generative AI can (and can’t) do
Myths, risks, and benefits of AI in non-tech roles
Module 2: Everyday Use Cases for Professionals
Time-saving applications:
Drafting emails, reports, meeting summaries
Creating checklists, plans, or SOPs
Enhancing creativity:
Brainstorming ideas for events, campaigns, or training
Writing social media posts, newsletters, or job ads
Organising information:
Summarising documents
Structuring spreadsheets or creating templates
Supporting communication:
Improving tone and clarity
Translating or simplifying content
Module 3: Prompting Essentials
What is a “prompt” and why does it matter?
How to write clear, specific, and effective prompts
Prompting frameworks (e.g., “Role–Task–Goal” method)
Live practice: transforming a vague prompt into a powerful one
Troubleshooting: when AI gives poor answers and how to improve them
Module 4: Hands-On Exploration
Try-it-yourself exercises using ChatGPT or Gemini (guided)
Real workplace examples and team challenges
Create an AI-generated email, checklist, or idea list
Optional: use industry-specific examples (e.g., HR, admin, events, comms)
Module 5: Responsible AI Use at Work
Understanding AI limitations and biases
Protecting privacy and sensitive data
When not to use AI
Workplace policies and guidelines (customisable for your organisation)
Ethical use: attribution, transparency, and human review
Module 6: Getting Started in Your Role
Tools overview: free vs paid options (ChatGPT, Microsoft Copilot, Gemini)
Building your own AI toolkit
Tips for staying up to date as tools evolve
30-day challenge: how to build AI into your daily workflow
Delivery Style
Highly interactive, practical, and low-jargon
No coding or tech background required
Hands-on demos, guided practice, and scenario-based activities
Group discussion and peer learning
Course Materials Provided
Quick-start guide: Top 10 prompts for non-tech roles
AI Prompt Library for your job type
Do’s and Don’ts for ethical use of AI at work
“AI in Action” workbook with examples and checklists
Personal AI Action Plan
Optional Add-ons
Team-based AI hackathon (mini workplace challenge)
Tailored follow-up webinar for Q&A and deeper use cases
Co-branded playbook for organisational AI use
Integration with digital transformation or innovation initiatives