OVERVIEW

This intensive two-day programme equips participants with the knowledge and practical skills to create effective prompts that produce high-quality outputs from Generative AI tools such as ChatGPT, Copilot, Gemini, Claude, and other AI platforms.

Participants will learn how AI interprets instructions, how prompt design influences output quality, and how to apply structured prompting techniques for content creation, research, problem-solving, business communication, productivity, and decision-making. Through hands-on activities and practical exercises, participants will gain confidence in transforming simple instructions into powerful prompts that deliver accurate, relevant, and valuable results.

The programme focuses on real workplace applications and provides participants with a practical framework to maximise AI performance while maintaining quality, accuracy, and ethical use.

LEARNING OUTCOMES

Upon completion of this programme, participants will be able to:

• Understand the fundamentals of Generative AI and Prompt Engineering.
• Explain how AI models interpret and respond to prompts.
• Apply structured prompting techniques to improve AI-generated outputs.
• Create effective prompts for writing, research, analysis, and productivity tasks.
• Utilise advanced prompting methods to generate more accurate and relevant responses.
• Optimise prompts through refinement and iterative improvement.
• Develop prompts for various workplace scenarios and business functions.
• Evaluate AI-generated content for quality, accuracy, and reliability.
• Apply responsible and ethical practices when using AI tools.
• Build a personal prompt library for future workplace use.

COURSE OUTLINE

Day 1: Foundations of Prompt Engineering

Module 1: Introduction to Generative AI

• Understanding Generative AI and Large Language Models (LLMs)
• Popular AI platforms and their capabilities
• AI opportunities and limitations
• Business applications of Generative AI

Module 2: The Anatomy of a Great Prompt

• What makes a prompt effective
• Components of high-quality prompts
• Context, role, objective, format, and constraints
• Common prompting mistakes

Module 3: Prompt Engineering Fundamentals

• Zero-shot prompting
• One-shot prompting
• Few-shot prompting
• Instruction-based prompting
• Role-based prompting

Module 4: Practical Prompting for Daily Work

• Email drafting and communication
• Report writing and summarisation
• Meeting minutes generation
• Research and information gathering
• Brainstorming and idea generation

Hands-On Workshop

• Building effective prompts
• Prompt improvement exercises
• AI output evaluation activities

Day 2: Advanced Prompting & Workplace Applications

Module 5: Advanced Prompting Techniques

• Chain-of-thought prompting
• Step-by-step reasoning prompts
• Prompt refinement techniques
• Multi-stage prompting
• Prompt optimisation strategies

Module 6: Content Creation with AI

• Marketing content generation
• Social media content creation
• Presentation and speech drafting
• Training and educational materials
• Creative content development

Module 7: AI for Analysis and Decision Support

• Data interpretation prompts
• SWOT analysis generation
• Problem-solving frameworks
• Scenario planning and decision support
• Business strategy prompts

Module 8: Building Your Prompt Toolkit

• Developing reusable prompt templates
• Creating a personal prompt library
• Best practices for different AI platforms
• Responsible and ethical AI usage

Capstone Activity

• Real workplace AI challenge
• Team-based prompt design exercise
• Presentation of AI-generated solutions
• Facilitator feedback and discussion 

METHODOLOGY

•  Facilitator-led lectures
•  AI demonstrations
•  Hands-on prompt exercises
•  Case study analysis
•  Group discussions