WSQ - Fast-Track Innovations with Agile Design Thinking and Generative AI (GenAI)

Topic 1: Foundations of Design Thinking, Agile, and Generative AI for Problem-Solving 

• What is Design Thinking? Mindsets and Methodologies for Innovation
• Product Development through Design Thinking and Agile
• How Generative AI Enhances Design Thinking and Agile Processes
• Latest Trends in Innovation: Generative AI and Agile Design Thinking

Topic 2: Problem Framing and Ideation: Leveraging Design Thinking and Generative AI 

• Defining the Problem: Understanding the Challenge and Users
• Persona Mapping and Empathy: Gathering Deep Insights with GenAI
• Ideation and Brainstorming Techniques Enhanced by Generative AI
• Prototyping with AI-Driven Tools: Rapid Development and Feedback
• Drivers of organizational growth and success
• Synthesize information from different sources to understand end-user needs
• Engage stakeholders during the design thinking process to uncover motivations

Topic 3: Agile Development and AI for Rapid Solution Delivery 

• Agile Frameworks for Managing Innovation Projects
• Converting Ideas into Agile Features, Stories, and Tasks with GenAI
• Using Generative AI for Faster Iterations and Feedback in Agile Sprints
• Agile Tools and Techniques to Scale Solutions Across Teams
• Concept and principles of resource management, project management tools and techniques
• Lead design thinking projects across the organization

Topic 4: Scaling and Sustaining Innovations with Agile Deign Thinking and Generative AI 

• Strategies for Scaling Design Thinking and AI Across an Organization
• Engaging Stakeholders and Creating Buy-in for AI-Driven Innovation
• Resource Management in Innovation Projects Using AI Tools
• Metrics and KPIs for Measuring the Success of Innovation Projects

Final Assessment 

• Written Assessment (SAQ)
• Case Study

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

• Able to operate using computer functions
• 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: NIL

Hardware: Windows and Mac Laptops

SSG Training Grant

SSG TG is $15 per pax. Net fee after SSG TG is $309.82. Absentee Payroll is not eligible.

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’

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

1. The candidate has the right to disagree with the assessment decision made by the assessor.
2. When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
3. If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
4. If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
5. If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
6. 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.
7. The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
8. The candidate must lodge the appeal within 7 days, giving reasons for appeal 
9. The assessor can help the candidate with writing and lodging the appeal.
10. he assessment manager will collect information from the candidate & assessor and give a final decision.
11. A record of the appeal and any subsequent actions and findings will be made.
12. An Assessment Appeal Panel will be formed to review and give a decision.
13. The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
14. The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
15. Please click the link below to fill up the Candidates Appeal Form.

• Innovation Manager
• Product Development Manager
• Design Thinking Consultant
• Agile Project Manager
• AI Strategy Consultant
• R&D Manager
• Digital Transformation Lead
• User Experience (UX) Designer
• Process Improvement Specialist
• Business Analyst
• Chief Innovation Officer
• Product Innovation Lead
• Service Design Lead
• Stakeholder Engagement Manager
• AI Solutions Architect
• Organizational Development Manager
• Customer Insights Specialist
• Innovation Coach
• Creative Director
• Project Management Lead

Choong Sin Fatt: Choong Sin Fatt is an accomplished IT and innovation professional with more than 30 years of experience in systems development, software engineering, and enterprise digital transformation. His expertise spans IT project management, design thinking, and agile solution development for public and private sector organizations. As an ACLP-certified trainer, he has mentored numerous professionals in applying creative problem-solving and digital tools to streamline operations and enhance customer experiences. Sin Fatt is known for his structured yet engaging training approach that bridges technology, innovation, and human-centered design.

In this course, Sin Fatt empowers learners to use Agile Design Thinking frameworks to accelerate innovation and drive organizational transformation. His sessions focus on practical ideation methods, iterative prototyping, and applying Generative AI tools to enhance creativity and workflow efficiency. Learners gain actionable skills to design user-centric solutions while leveraging AI to automate, analyze, and scale innovation effectively.

Tan Teck Hwa: Tan Teck Hwa is a seasoned organizational development consultant and learning strategist with over two decades of experience in corporate training, innovation management, and leadership development. He has helped organizations adopt agile and design thinking practices to improve collaboration, problem-solving, and strategic innovation. With a strong background in human capital development and digital transformation, Teck Hwa specializes in guiding teams through creative thinking frameworks that align technology with business goals.

In this course, Teck Hwa focuses on applying design thinking and Generative AI to solve complex organizational challenges. His sessions highlight practical methods for empathy-driven innovation, ideation, and AI-augmented design. Learners benefit from his expertise in combining people-centric leadership with technology-driven creativity to accelerate product development, process improvement, and digital transformation.

Dr. Sivanesan Sivakaruniam: Dr. Sivanesan Sivakaruniam (Siva) is a governance, risk, and innovation strategist with over 30 years of experience advising organizations on digital transformation, sustainability, and leadership excellence. Holding a Doctorate in Governance, Risks, and Sustainability, he has consulted for multinational corporations and public institutions to implement agile frameworks that enhance decision-making and innovation governance. Dr. Siva is also a Certified Internal Auditor (CIA) and Certified Information Systems Auditor (CISA), with deep expertise in systems thinking and strategic change management.

In this course, Dr. Siva integrates Agile Design Thinking principles with Generative AI to help leaders innovate responsibly and effectively. His sessions focus on strategic alignment, innovation governance, and risk-aware AI adoption. Learners benefit from his systems-based approach to innovation, gaining insights into how organizations can embrace creativity, resilience, and agility while ensuring ethical and sustainable implementation of AI-driven solutions.

Stephan Tan: Stephan Tan is an experienced trainer and consultant specializing in business innovation, quality management, and process improvement. With over 25 years in corporate training and project facilitation, he has guided organizations in adopting Lean, Agile, and Design Thinking methodologies to improve performance and drive continuous innovation. Stephan is also a certified ISO auditor and ACLP-certified trainer, known for integrating structured problem-solving frameworks with creative ideation techniques.

In this course, Stephan helps learners apply Agile Design Thinking principles enhanced by Generative AI technologies to accelerate innovation and product development. His sessions emphasize the synergy between data-driven insight and creative exploration, empowering participants to ideate, prototype, and refine solutions efficiently. Learners develop the mindset and tools needed to foster a culture of rapid experimentation, adaptability, and innovation excellence.