Generative AI For Daily Work Optimization

Introduction

In today's fast-paced, tech-driven workplace, Generative AI is no longer a future concept—it’s a daily advantage. From streamlining communication and automating repetitive tasks to enhancing creativity and decision-making, AI is transforming how professionals across all industries work, think, and deliver results.

This 2-day hands-on course—Generative AI for Daily Work Optimization—is designed for professionals ready to move beyond the hype and into practical application. You’ll gain a working knowledge of foundational AI technologies, learn how to build high-impact prompts, and apply AI tools like ChatGPT, Claude, Gemini, CoPilot, Perplexity and Deep Seek to real-world business tasks, including strategic writing, spreadsheet automation, stakeholder simulations, and presentation design.

We’ll also explore critical data privacy, ethical, and legal considerations, ensuring responsible AI adoption within your organization. Through live demonstrations, guided exercises, and business-relevant case simulations, this course equips you to integrate AI into your workflows with confidence and precision.

Whether you're a manager, executive, or functional lead, this course will empower you to optimize daily productivity, elevate decision-making, and lead AI adoption within your team.

Learning Outcomes / Benefits

• Understand the foundational technologies powering Generative AI, including Deep Learning, Neural Networks, and Large Language Models.
• Assess ethical and legal considerations in Generative AI, including data privacy, fairness, transparency, and compliance frameworks.
• Design effective prompt structures tailored to diverse work scenarios.
• Construct personalized prompts using mimic techniques and custom instructions that reflect specific writing styles.
• Explain chain of thought and tree of thoughts techniques in structuring business content.
• Simulate and adapt real-world conversations with different stakeholder personalities using AI.
• Employ AI-driven solutions to generate custom formulas and automate tasks within spreadsheet applications.
• Harness Generative AI's potential to generate slide content, design suggestions, and custom images for presentations.

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

Module 1: Foundations Of Generative AI

• Understand the building blocks: Deep Learning, Neural Networks, Large Language Models (LLMs).
• Explore Generative AI across domains: Natural Language Processing (NLP), Computer Vision, and Automation.
• Comparative overview: Strengths and constraints of tools like ChatGPT, Gemini, Copilot, Claude.ai, Perplexity and Deep Seek.

Module 2: Data Privacy, Ethical And Legal Considerations In Generative AI

• Key risks in AI content generation: privacy, hallucination, and sensitive data exposure.
• How to protect business data when using tools for documentation and presentation generation.
• Ethics in AI deployment: fairness, bias mitigation, transparency, and responsible usage frameworks.
• Regulatory overview: GDPR, PDPA (Malaysia), and evolving global policies.
• Practical governance: role-based access, usage monitoring, and policy templates.

Module 3: ChatGPT And Prompting Techniques

• Overview of ChatGPT: Introducing the concept of ChatGPT and its capabilities in conversational AI.
• Explanation of tokens and tokenization concepts.
• Discussing the importance of domain-specific fine-tuning and data preparation from various data sources such as PDF and web search.
• Understanding prompting strategies and framework
• The "Ultimate Prompt" method
• Understand the current limitations of Large Language Model AI

Module 4: The Art Of Personalisation

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

Module 5: 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.
• Understand the current limitations of utilising AI in content creation

Module 6: User Experience Simulation Using Ai

• 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: Supercharging Spreadsheets With Ai

• Use AI to generate custom formulas
• Demonstration on using AI to write custom macros for Excel and Google Sheet
• 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 8: 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.

Target Audience

• Management
• Team Leader
• Executives

Methodology

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