Generative AI for Daily Work Optimization

Introduction

In today’s evolving workplace, Generative AI is no longer a futuristic concept—it’s a practical tool driving productivity, clarity, and strategic thinking across industries. From document generation and stakeholder communication to risk evaluation and content summarisation, AI is redefining how work gets done.

This 2-day course introduces professionals to the fundamentals of Generative AI and its applications in everyday business contexts. Participants will gain a clear understanding of how tools like ChatGPT, Gemini, and DeepSeek can be used to enhance written communication, automate content development, and support informed decision making. The course also addresses responsible AI use—framed by data governance, ethical practices, and compliance expectations.

Through structured modules, participants will explore prompt engineering techniques, strategic writing workflows, and future-of-work insights, equipping them with the knowledge and skills to engage with Generative AI tools confidently, safely, and effectively.

Learning Outcomes / Benefits

After completing the course, participants will be able to:

• Understand the foundational concepts behind Generative AI, including large language models (LLMs), NLP, tokenization, and model fine-tuning.
• Apply effective prompting frameworks to support content generation, summarisation, and strategic writing use cases.
• Interpret the role of tone, writing style, and vocabulary in shaping AI-generated communication outputs.
• Adopt responsible usage practices aligned with data privacy regulations, governance frameworks, and internal policies.
• Recognise how Generative AI is transforming workplace roles, and identify new skillsets required for AI-supported collaboration and communication.

Assessment Criteria

• Demonstrates a comprehensive understanding of foundational AI technologies and their applications in Generative AI.
• Understands and implements ethical considerations in AI applications, including data privacy and transparency.
• Successfully prepares and utilizes diverse data sources, like PDFs, to create custom GPT models.
• Demonstrates the ability to optimize content creation using Generative AI, particularly in producing copywriting, proposals, and SOPs tailored to specific audiences and channels.
• Demonstrates proficiency in utilizing AI to automate tasks, formulas, and macros within spreadsheet applications.
• Effectively uses Generative AI tools to generate slide content, designs, and custom images for presentations.

Key Content

Day 1 – Generative AI & Prompting Strategies

Module 1: Foundations of Generative AI & Responsible Use

• What is Generative AI? Key terms: LLMs, NLP, fine-tuning, tokens.
• Tool comparison: ChatGPT, Gemini, Copilot, Perplexity, DeepSeek, Claude – where they shine, where they fall short.
• Explanation of tokens and tokenization concepts.
• Responsible AI Use: Privacy risks, hallucinations, data leakage
• Governance frameworks: PDPA, internal controls
• Ethical prompt practices + role based safety

Module 2: Gen AI Prompting Techniques

• Overview of ChatGPT: Introducing the concept of ChatGPT and its capabilities in conversational AI.
• Understanding prompting strategies and framework Importance of tone, writing style and vocabulary level
• Discussing the importance of domain specific fine-tuning and data preparation from various data sources such as PDF and web search.
• The "Ultimate Prompt" method
• Understand the current limitations utilising AI in content creation

Module 3: The Art of Personalisation

• Understanding the typical writing style of AI
• Introduction to top AI detection tools
• Mimic techniques to train AI on your unique writing patterns
• Configuration of custom instructions remember your writing style

Module 4: Strategic Communication & Business Writing Use Cases

• Exploring AI tools for generating compelling copywriting for various business use cases.
• Creation of business proposals and Standard Operations Procedure (“SOP”) using chain of thought techniques.
• Evaluation of business ideas using tree of thoughts techniques.
• Summarizing, analysing and generating insights from complex documents such as financial statements and investor relations report.
• Translating legal terms into layman-friendly language and across multiple languages.

Day 2 – Business Applications

Module 5: Supercharging Spreadsheets with AI

• Use AI to generate custom formulas
• Demonstration on using AI to write custom macros for Excel and Google Sheet
• Exploring the usage of the Reasoning Model for data analysis and reporting
• Perform data cleaning, analysis, visualization, and extracting insights using AI functionalities.
• Exploring ways to automate repetitive tasks, such as automated data entry, pattern recognition, and predictive analysis.
• Generate charts with AI prompts.
• Understand the current limitations of utilising AI in spreadsheets

Module 6: User Experience Simulation Using AI

• Guided exercise on training a basic custom GPT model for a simplified chatbot scenario.
• Develop user personas and map out various stakeholder roles and personalities using the User Journey Framework
• Creating personalized pitch to convince various stakeholders using their voice.
• Crafting customized scripts across different communication touchpoints- online, phone, and in-person customer interactions.
• Simulating real-world conversations with different stakeholders of various personalities using GPT.

Module 7: Mastering Presentations Using AI

• Introduction to Generative AI and its role in generating slide content, design suggestions, and layout structuring.
• Using AI prompts to generate custom images for presentations.
• Learn about image and video copyright and the role of AI in curating content.
• Using AI to evaluate the presentation deck and how to improve it further.
• Understand the current limitations of utilising AI for image and video generation.

Module 8: Automation Trends & The Future of Work

• AI Beyond Cloud LLM Models – Shift towards custom-trained models tailored to organizational data, compliance, and internal workflows.
• AI Agents and Workflow Automation – Introduction to AI agents performing multi step business tasks such as document generation, data extraction, and reporting support.
• Prompt Engineering as an Essential Skill – Reframing prompting as a core productivity and communication skill across knowledge roles.
• Redesigning Roles in the AI-Augmented Workplace – Understanding the transition from task execution to AI orchestration and oversight.

Target Audience

• Management
• Team Leader
• Executives

Methodology

• PowerPoint Presentation
• Interactive Group Activities
• Case Study
• Group Discussions
• Simulation