Mastering AI Communication: Prompt Engineering

Course Objectives

Command AI with precision using proven prompt frameworks that yield reliable, high-quality results.
Explore complex use cases of Prompt Engineering for different business applications
Develop skills to train and fine-tune AI models using sophisticated prompt techniques
Leverage localisation strategies for the Hong Kong and GBA context, mastering trilingual prompting and culturally relevant AI communication.

Course Structure

1. The Business Case for AI & Security
The AI Co-Pilot Shift: Moving beyond “chatbots” to understand how Generative AI acts as a 24/7 analyst, writer, and consultant.
Real-World Impact: Case studies of how businesses are cutting administrative time by 30-50% and improving decision velocity.
Risk, Ethics & Privacy (Crucial):
– Data Security: What never to put into public AI models (protecting company IP)
– Understanding Bias: Why AI answers can be wrong and how to fact-check.
 

2. The Logic of Prompt Engineering
How LLMs “Think”: Demystifying the black box—understanding probability vs. facts so you know when to trust the AI.
The 3 Modes of Prompting:
– Generative: Creating new content (ideas, drafts).
– Transformative: Changing formats (rewriting, translating, summarising).
– Evaluative: Asking AI to critique or judge work.
Reasoning Modes: Understanding how today’s AI reasons before answering — recognising fast vs. thinking mode and using the reasoning toggle to get better answers on complex questions.
Prompting vs. Context: The difference between what you ask and what the AI has access to (documents, memory, instructions) — and why the second matters just as much.
Avoiding Hallucinations: Identifying common pitfalls where AI sounds confident but is factually wrong.

3. Hands-On Prompt Creation & Business Workflows
Core Prompting Strategy
The “Perfect Prompt” Framework: Learning the specific formula to get high-quality, usable results on the first try.
Feedback Loops: How to test and refine prompts to iteratively improve the AI’s output.
Ask for the Shape, Not Just the Content: Requesting tables, lists, or defined formats so output is reliable enough to reuse or hand off to another tool or teammate
Operational Efficiency (The Time-Saver)

Meeting Intelligence: Instantly turning messy transcriptions or rough notes into structured minutes with clear action items.
Data & Document Crunching: Uploading PDFs or CSVs to extract executive summaries, spot trends, or audit data without reading every page.
Visual Analysis (Multimodal): Using AI to “read” images—digitising whiteboard notes, analysing charts,or extracting text from photos.
Vibe Coding with Gemini Canvas:Describing a small tool in plain language (e.g. a calculator, quiz, or tracker) and having Gemini Canvas build and refine it live — showing non-technical staff they can create working mini-apps without writing code.
Business Communication & Content

Drafting & Repurposing: Creating emails, proposals, and social posts, then instantly reformatting them for different channels (e.g., turning a report into a presentation outline).
Tone & Crisis Management: Rewriting drafts to be more empathetic for customer complaints or more authoritative for negotiations.
Roleplay & Prep: Using AI as a “sparring partner” to prepare for difficult sales pitches or internal negotiations.
The “Hong Kong Edge” (Localisation)

Trilingual Mastery: Strategies for seamless switching and mixing between English, Traditional Chinese (Cantonese context), and Putonghua.
Cultural Context: Prompting for local festivals (Chinese New Year, Mid-Autumn), regional humour, and specific HK/GBA consumer behaviours.
Translation Accuracy: Moving beyond direct translation to capture the nuance and intent across languages.

4. Custom AI Solutions with Prompt Engineering
Custom Instructions: Setting up your AI “Profile” so it knows your company tone, formatting rules, and job role automatically (no need to repeat yourself)
Memory: What today’s AI platforms retain across sessions by default, and what you should — and shouldn’t — let them remember.
Building a “Prompt Library”: How to save and share your best prompts with your team to standardise quality
Department-Specific Workshops (Capstone):
– For HR: Automating JDs, screening criteria, and policy updates
– For Marketing: Creating brand-aligned content calendars and campaign structures
– For Finance/Admin: Standardising reporting formats and data extraction
The “Human in the Loop”: Establishing the final review process to ensure quality control before hitting “send”
Chatbot vs. Agent: Understanding the difference between a simple AI chatbot and a true multi-step AI agent — and where each fits in your workflow.

Target Audience

Anyone who wants to use AI/ Generative AI effectively. No tech knowledge required.

Certificate of Attendance
A Certificate of Attendance will be awarded to participants who have completed the course.

Trainer

Ivan SO

Ivan is a seasoned trainer with over 20 years of experience in digitalisation. He graduated from the University of Southampton with a Bachelor of Computer Science. Recently, he has successfully developed and delivered various Generative AI training programs for both public and corporate clients.