Course Details
Topic 1: Introduction to Business Innovation and Generative AI
- Overview of current predictive AI technology used in the industry
- Overview of emerging generative AI technology for business innovation
- Overview of generative AI tools: Text, Image, Video, Speech, Song, Music, Digital Human, Office Productivity, Data Analysis, IP
- Investigating and evaluating business opportunities with generative AI tools
- Case studies and real-world examples
Topic 2: Designing Digital Architectures and Processes for Business Innovation
- Business planning methodologies for innovation
- Designing digital architectures using generative AI tools
- Integrating generative AI tools into the business environment
- Developing an action plan for implementing business innovation
- Hands-on with generative AI tools
Topic 3: Implementing and Managing Business Innovation with Generative AI Tools
- Implementing best practices for business innovation using generative AI tools
- Legal, ethical and security considerations
- Managing and reviewing the success of business innovation using generative AI tools
- Facilitating communication and idea sharing among stakeholders
Final Assessment
- Written Assessment (Q&A)
- Case Study
Course Info
Promotion Code
Promo or discount cannot be applied to WSQ courses
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
- Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
- Positive Learning Attitude
- Enthusiastic Learner
Experience
- Minimum of 1 year of working experience.
Target Age Group: 21 - 65 years old.
Minimum Software/Hardware Requirement
Software:
You can sign up free accounts on the following platforms:
Hardware: Windows and Mac Laptops
About Progressive Wage Model (PWM)
The Progressive Wage Model (PWM) helps to increase wages of workers through upgrading skills and improving productivity.
Employers must ensure that their Singapore citizen and PR workers meet the PWM training requirements of attaining at least 1 Workforce Skills Qualification (WSQ) Statement of Attainment, out of the list of approved WSQ training modules.
For more information on PWM, please visit MOM site.
Funding Eligility Criteria
| Individual Sponsored Trainee | Employer Sponsored Trainee |
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SkillsFuture Credit:
PSEA:
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Absentee Payroll (AP) Funding:
SFEC:
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Steps to Apply Skills Future Claim
- The staff will send you an invoice with the fee breakdown.
- Login to the MySkillsFuture portal, select the course you’re enrolling on and enter the course date and schedule.
- Enter the course fee payable by you (including GST) and enter the amount of credit to claim.
- Upload your invoice and click ‘Submit’
SkillsFuture Level-Up Program
The SkillsFuture Level-Up Programme provides greater structural support for mid-career Singaporeans aged 40 years and above to pursue a substantive skills reboot and stay relevant in a changing economy. For more information, visit SkillsFuture Level-Up Programme
Get Additional Course Fee Support Up to $500 under UTAP
The Union Training Assistance Programme (UTAP) is a training benefit provided to NTUC Union Members with an objective of encouraging them to upgrade with skills training. It is provided to minimize the training cost. If you are a NTUC Union Member then you can get 50% funding (capped at $500 per year) under Union Training Assistance Programme (UTAP).
For more information visit NTUC U Portal – Union Training Assistance Program (UTAP)
Steps to Apply UTAP
- Log in to your U Portal account to submit your UTAP application upon completion of the course.
Note
- SSG subsidy is available for Singapore Citizens, Permanent Residents, and Corporates.
- All Singaporeans aged 25 and above can use their SkillsFuture Credit to pay. For more details, visit www.skillsfuture.gov.sg/credit
- An unfunded course fee can be claimed via SkillsFuture Credit or paid in cash.
- UTAP funding for NTUC Union Members is capped at $250 for 39 years and below and at $500 for 40 years and above.
- UTAP support amount will be paid to training provider first and claimed after end of class by learner.
Appeal Process
- The candidate has the right to disagree with the assessment decision made by the assessor.
- When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
- If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
- If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
- If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
- If the candidate is still not satisfied with the decision, the candidate must notify the assessor of the decision to appeal. The assessor will reflect the candidate’s intention in the Feedback Section of the Assessment Summary Record.
- The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
- The candidate must lodge the appeal within 7 days, giving reasons for appeal
- The assessor can help the candidate with writing and lodging the appeal.
- he assessment manager will collect information from the candidate & assessor and give a final decision.
- A record of the appeal and any subsequent actions and findings will be made.
- An Assessment Appeal Panel will be formed to review and give a decision.
- The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
- The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
- Please click the link below to fill up the Candidates Appeal Form.
Appeal Process
- The candidate has the right to disagree with the assessment decision made by the assessor.
- When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
- If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
- If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
- If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
- If the candidate is still not satisfied with the decision, the candidate must notify the assessor of the decision to appeal. The assessor will reflect the candidate’s intention in the Feedback Section of the Assessment Summary Record.
- The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
- The candidate must lodge the appeal within 7 days, giving reasons for appeal
- The assessor can help the candidate with writing and lodging the appeal.
- he assessment manager will collect information from the candidate & assessor and give a final decision.
- A record of the appeal and any subsequent actions and findings will be made.
- An Assessment Appeal Panel will be formed to review and give a decision.
- The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
- The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
- Please click the link below to fill up the Candidates Appeal Form.
Job Roles
- Innovation Manager
- Product Development Manager
- R&D Specialist
- Business Strategist
- Digital Transformation Lead
- AI Solutions Architect
- Design Thinking Facilitator
- Marketing Innovation Specialist
- Brand Experience Designer
- Creative Director
- New Ventures Manager
- Content Strategy Specialist
- UX/UI Designer (exploring AI-driven design)
- Growth Hacker
- Technology Evangelist
Trainers
Allen Wong: Allen Wong is a multimedia designer and technology educator with extensive experience in creative design, visual communication, and digital innovation. He has worked across diverse industries, including education, media, and corporate training, specializing in leveraging creative technologies such as Adobe Creative Cloud, AI-powered design tools, and interactive content platforms. With a strong background in visual storytelling and instructional media design, Allen empowers professionals to integrate creativity with emerging digital technologies for impactful communication and engagement.
In “Digital Transformation and Business Innovation with Generative AI (GenAI),” Allen helps learners explore the intersection of creativity, technology, and business innovation. His sessions focus on using AI tools to streamline design workflows, automate content creation, and enhance customer experience. By blending artistic vision with technological insight, he equips participants to reimagine digital transformation strategies that harness the full potential of Generative AI.
James Lee Kin Nam: James Lee is a veteran digital media and IT educator with over two decades of experience in multimedia production, creative technology, and digital communication. An Adobe Certified Expert and ACLP-qualified trainer, he has taught professionals across multiple industries in digital transformation, design thinking, and AI-driven content creation. His teaching approach blends hands-on learning with strategic digital literacy, helping organizations adapt creatively to emerging technologies.
In “Digital Transformation and Business Innovation with Generative AI (GenAI),” James focuses on enabling professionals to integrate Generative AI tools into business innovation workflows. His lessons explore prompt engineering, automation strategies, and AI-assisted creative processes. By combining digital media expertise with applied AI concepts, he helps learners transform traditional business operations into agile, innovation-driven ecosystems.
Tan Woei Ming: Tan Woei Ming is a data scientist and AI engineer with more than 15 years of experience in machine learning, data analytics, and automation systems. He has worked on predictive modeling and computer vision projects at Micron Semiconductor Asia, applying AI technologies to improve production efficiency and decision intelligence. Woei Ming holds a Master’s degree in Intelligent Systems from NUS and a First-Class Honours in Electrical and Electronic Engineering from NTU.
In “Digital Transformation and Business Innovation with Generative AI (GenAI),” Woei Ming guides learners in understanding how AI models and Generative AI technologies can reshape business operations. His sessions focus on automation design, data-driven strategy, and innovation frameworks that leverage AI for enterprise transformation. Through real-world case studies, he equips professionals with the technical understanding and strategic mindset needed to drive digital innovation.
Yeo Hwee Theng: Yeo Hwee Theng is a data science leader and AI strategist with deep expertise in analytics-driven transformation across healthcare, finance, and technology sectors. As the Data & Analytics Product Lead at Amplify Health and former AI Architect at Huawei International, she has designed enterprise-level AI and data systems that accelerate innovation. Holding a Master of Technology in Enterprise Business Analytics from NUS, she blends strong technical expertise with a business-focused approach to AI adoption.
In “Digital Transformation and Business Innovation with Generative AI (GenAI),” Hwee Theng helps professionals bridge data science, business analytics, and Generative AI. Her sessions emphasize applied AI innovation, prompt engineering, and enterprise integration strategies that enhance decision-making and efficiency. Through hands-on exploration, she enables learners to harness AI’s transformative potential to innovate sustainably and strategically within their organizations.
Teh Siew Yee: Teh Siew Yee is a digital transformation and analytics leader with over 20 years of experience across banking, manufacturing, and technology sectors. He has held leadership positions at Standard Chartered, Hewlett-Packard, and SIA Engineering, where he led initiatives in data analytics, AI governance, and business intelligence. Siew Yee holds a Master of IT in Business (Artificial Intelligence) from Singapore Management University and a Bachelor of Engineering from NTU.
In “Digital Transformation and Business Innovation with Generative AI (GenAI),” Siew Yee focuses on helping organizations align AI capabilities with business strategy. His sessions cover AI governance, change management, and the use of Generative AI for process innovation. With a focus on practical implementation, he equips participants to identify opportunities for digital reinvention and lead data-driven innovation initiatives within their organizations.
Customer Reviews (302)
- Average Rating: 4.0/5 Review by Course Participant/Trainee
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- (Posted on 3/13/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Average Rating: 3.0/5 Review by Course Participant/Trainee
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N/A (Posted on 3/13/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Average Rating: 4.3/5 Review by Course Participant/Trainee
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Would be better if has more time for hands on (Posted on 3/13/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Average Rating: 4.7/5 Review by Course Participant/Trainee
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Good training with practical practices. (Posted on 3/13/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Average Rating: 2.3/5 Review by Course Participant/Trainee
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N/A (Posted on 3/13/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Average Rating: 3.7/5 Review by Course Participant/Trainee
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N/A (Posted on 3/13/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Average Rating: 2.3/5 Review by Course Participant/Trainee
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If don't change the original venue, which is Woodlands, that will be appreciated. (Posted on 3/13/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Average Rating: 5.0/5 Review by Course Participant/Trainee
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N/A (Posted on 3/13/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Average Rating: 2.3/5 Review by Course Participant/Trainee
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N/A (Posted on 3/13/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Average Rating: 4.0/5 Review by Course Participant/Trainee
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N/A (Posted on 3/13/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Average Rating: 3.7/5 Review by Course Participant/Trainee
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Trainer very passionate (Posted on 3/13/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Average Rating: 3.3/5 Review by Course Participant/Trainee
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It will be better to have more guidance or examples to better leverage the application. Time and content management needs to be improved. (Posted on 3/13/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Average Rating: 4.0/5 Review by Course Participant/Trainee
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More case studies for hands on instead of going through slides (Posted on 3/13/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Average Rating: 3.3/5 Review by Course Participant/Trainee
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N/A (Posted on 3/13/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Average Rating: 3.7/5 Review by Course Participant/Trainee
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N/A (Posted on 3/13/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Average Rating: 5.0/5 Review by Course Participant/Trainee
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N/A (Posted on 3/13/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Average Rating: 3.3/5 Review by Course Participant/Trainee
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N/A (Posted on 3/13/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Average Rating: 4.0/5 Review by Course Participant/Trainee
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N/A (Posted on 3/13/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Average Rating: 3.0/5 Review by Course Participant/Trainee
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I find the course too rushed, while the technical aspect not well elaborated (Posted on 3/13/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Average Rating: 3.3/5 Review by Course Participant/Trainee
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N/A (Posted on 3/13/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment








