Classroom/ Online: Yes/ No
Scheduling Date(s):
1) 18 - 19 Mar 2026 (classroom - confirmed)
2) 21 - 22 May 2026 (classroom)
3) 3 - 4 Aug 2026 (classroom)
4) 5 - 6 Nov 2026 (classroom)
Note: Please click specific date for detailed venue and course fee etc.
2-Day Leveraging AI for Enhanced Productivity and Decision-Making
This 2-day hands-on workshop equips participants with the practical skills to apply Artificial Intelligence (AI) tools—especially generative AI such as ChatGPT, DeepSeek, Claude, Gemini, Microsoft Copilot, and other productivity-enhancing platforms—to streamline their workflows, automate repetitive tasks, and make data-driven business decisions confidently.
Participants will engage in live demonstrations, real-world case studies, and guided hands-on exercises to master AI tools that improve efficiency, creativity, and strategic decision-making.
Participants are required to bring an internet-enabled laptop for hands-on exercises with various Gen AI tools, as the application is web-based. Participants should have Google Email for sharing work and resources. Thank you.
Participants will engage in live demonstrations, real-world case studies, and guided hands-on exercises to master AI tools that improve efficiency, creativity, and strategic decision-making.
Participants are required to bring an internet-enabled laptop for hands-on exercises with various Gen AI tools, as the application is web-based. Participants should have Google Email for sharing work and resources. Thank you.
Objective
By the end of the workshop, participants will be able to:
- Understand AI fundamentals and their real-world applications in business and productivity.
- Use AI tools (ChatGPT, DeepSeek, Claude, Gemini, Microsoft Copilot and others) to automate tasks, summarize information, and generate content.
- Critically evaluate AI-generated outputs and make informed, ethical decisions using AI insights.
Outline
1. Introduction to AI & Understanding AI Capabilities
1.1 What is AI?
1.2 AI in Everyday Life
2. Strategic Benefits & Use Cases
2.1 Why Learn AI Now?
2.2 Real-world Examples
2.3 Hands-On: Task Audit for AI Potential
2.4 Guided Tool Familiarisation
3. Hands-On: Data & Document Processing with AI
3.1 Activity 1:
3.2 Activity 2:
3.3 Activity 3:
4. Hands-On: Image & Content Generation
4.1 Prompt-writing framework:
5. AI Risks, Ethics, and Governance
6. Capstone Group Challenge
7. The Future of Work with AI
1.1 What is AI?
- AI vs. Augmented Intelligence
- Machine Learning (ML) basics
- Natural Language Processing (NLP) examples (Grammarly, Otter.ai, chatbots)
- Generative AI for text, image, audio, code
- Robotic Process Automation (RPA) for repetitive tasks
1.2 AI in Everyday Life
- Embedded AI in Microsoft tools, smartphones, and apps you already use.
2. Strategic Benefits & Use Cases
2.1 Why Learn AI Now?
- Productivity, quality improvement, career competitiveness, and future-proofing.
2.2 Real-world Examples
- Email drafting & summarization
- Data extraction from receipts/invoices
- Content creation for social media & marketing
- Forecasting with PowerBI & AI models
- HR analytics & meeting summaries
- Language translation & communication support
2.3 Hands-On: Task Audit for AI Potential
- Identify your top 5 time-consuming tasks.
- Rate them for repetitiveness, creativity needed, and potential automation.
- Group discussion on quick wins for AI integration.
2.4 Guided Tool Familiarisation
- Major AI tools in the market
- Live demo
3. Hands-On: Data & Document Processing with AI
3.1 Activity 1:
- Extracting data from receipts/images
3.2 Activity 2:
- Summarising long documents or articles into bullet points and action items
3.3 Activity 3:
- Generating comparison tables for decision-making from unstructured text
4. Hands-On: Image & Content Generation
4.1 Prompt-writing framework:
- Subject, style, detail, colour, background, mood.
- Hands-on Activity
5. AI Risks, Ethics, and Governance
- Data privacy & confidentiality risks
- AI hallucinations & misinformation
- Copyright issues & originality
- Human oversight: verifying outputs
- Developing workplace AI policies
6. Capstone Group Challenge
7. The Future of Work with AI
- Job transformation vs. job loss
- New roles in an AI-enabled workplace
- Lifelong learning strategies to stay ahead
Who should attend
- Managers, executives, and professionals seeking to enhance productivity using AI
- Team leaders and decision-makers who want to leverage data and automation
- Non-technical professionals who want to apply AI tools without coding skills
Methodology
trainer will focus on Hands-on, practical applications, advanced techniques, and ethical considerations, ensuring participants can effectively leverage AI for daily use.
Profile of Jason Khoo
Jason Khoo is a Microsoft Certified Trainer (MCT) and an ACTA-certified trainer with over 20 years of training experience. A Microsoft Certified Power BI Data Analyst Associate, he brings more than 30 years of hands-on experience in data analytics and business intelligence. He is also the Author of 4 Amazon books.
His expertise spans a wide range of areas, including Artificial Intelligence (AI), Data Science, Generative AI, Machine Learning, Digitalization, Predictive Analytics, Interactive Dashboard Design, Data Storytelling, and Data Visualization.
He is also highly skilled in developing automated, real-time reports and conducting data and visual analytics using tools such as Microsoft Excel, Power BI, and Tableau.
Throughout his career, Jason has held key roles at organizations such as Tibs (now SMRT), MobileOne Ltd, 3M, and Virgin Mobile.
During his tenure, he has worked with multiple databases, extracted and downloaded information from systems and run numerous analysis. These analyses spanned across many departments such as Finance, Sales, Marketing, Human Resources, Payroll, etc.
After his employment, he worked as a data analytics consultant for many companies, including Discovery Asia, 3M, Tanah Merah Country Club, Johnson and Johnson Vision Care, National Environmental Agency, Timberland, etc.
His data analytics skills combined with Excel allowed him to deliver many reports to the clients without them having to incur software cost. These reports include Dashboards, Top 10 charts, Risk Analysis, Business Models, KPIs, etc.
As a trainer, he is passionate about transferring his knowledge and imparting his skills to his participants. To day, he has trained thousands in his face to face workshops and had conducted talks for thousands as well.
Trans-Island Bus Services Ltd (Tibs) –Operations and Revenue Analytics, Passengers Travelling Behaviour Analytics
• Daily tracking of revenue,
• Prepare KPI for LTA,
• Fare revision analysis
Mobile One Asia Ltd (M1) – Financial analytics, Customer Call Usage Analytics
• Full company budgeting and business planning,
• Monthly Analysis,
• KPI reporting
3M – Sales, Cost and Inventory analytics
• Daily and Monthly Sales Forecasting,
• Analysis of Marketing Budget,
• Analysis of Inventory and shipments.
• Cost Analysis for new products (BOM analysis)
Virgin Mobile – Retail, Marketing, Payroll, Admin, IT, Finance Analytics
• Daily KPI reporting,
• Monthly Analysis for Finance, Payroll,
• Developed Fully Automated Business Model driven by KPI
