AI for Problem Solving
This course equips participants with practical problem-solving capabilities for the AI era by integrating computational thinking, structured reasoning, and hands-on application of Generative AI tools in workplace contexts. As organisations accelerate AI adoption to improve productivity, innovation, and workforce transformation, there is an increasing need for employees to apply AI effectively while maintaining critical thinking, human oversight, and responsible usage practices.
Aligned with Singapore’s broader national AI and workforce transformation initiatives, the course emphasises the importance of structured reasoning, verification, accountability, and responsible AI-enabled decision-making in workplace environments.
Participants will learn how to analyse complex and ambiguous workplace challenges systematically, identify patterns, root causes, assumptions, and constraints, break problems into manageable components, and design logical workflows that support more effective decision-making, collaboration, and execution.
Through guided exercises and real-world workplace scenarios, participants will apply Generative AI tools to support problem analysis, workflow design, solution generation, information synthesis, chatbot development, and rapid prototyping.
Aligned with Singapore’s broader national AI and workforce transformation initiatives, the course emphasises the importance of structured reasoning, verification, accountability, and responsible AI-enabled decision-making in workplace environments.
Participants will learn how to analyse complex and ambiguous workplace challenges systematically, identify patterns, root causes, assumptions, and constraints, break problems into manageable components, and design logical workflows that support more effective decision-making, collaboration, and execution.
Through guided exercises and real-world workplace scenarios, participants will apply Generative AI tools to support problem analysis, workflow design, solution generation, information synthesis, chatbot development, and rapid prototyping.
The course emphasises critical thinking, human judgement, verification practices, and responsible AI usage to ensure participants can evaluate AI-generated outputs effectively and apply AI confidently, safely, and creatively in workplace contexts.
By the end of this course, participants will be able to:
- Apply computational thinking frameworks such as decomposition, pattern recognition, abstraction, and algorithmic thinking to analyse and solve complex workplace problems systematically.
- Use Gen AI tools to support problem solving by framing problems clearly, identifying assumptions and constraints, designing workflows, and evaluating AI-generated outputs critically.
- Design and prototype AI-assisted solutions such as chatbots, workflow tools, and simple applications to address real-world workplace challenges through rapid iteration and structured reasoning.
Day 1
- Understanding Problems in the AI Era
- Limitations of Human Problem Solving
- Problem-Solving Frameworks
- Computational Thinking (CT)
- (CT) Decomposition
- (CT) Pattern Recognition
- (CT) Abstraction
- (CT) Algorithmic Thinking
Day 2
- Applying CT to AI Tools
- AI Chatbots for Problem Solving
- Vibe Coding and Rapid Prototyping
- Designing Workflows to Mitigate Problems
- Final Computational Thinking Challenge
- Recap and Closing
This programme is suitable for NTU Alumni who are:
- Professionals and executives using or planning to use AI tools at work
- Managers and team leads overseeing AI-enabled workflows
- Business, HR, operations, and administrative staff
- CET learners transitioning into AI-enabled roles
- Non-technical users seeking practical and responsible AI adoption skills
No technical background required. However, prior exposure to AI tools or a basic understanding of AI concepts will be beneficial.
Venue: NTU@One-North
Duration: 2 days
| Course | Course Dates |
|---|---|
AI for Problem Solving | Cohort 1: 21 Oct - 22 Oct (F2F) Registration Closing Date: |
Note: NTU reserves the right to change the date, venue, and mode of delivery due to unforeseen circumstances. Please prepare a laptop to attend F2F classroom training.
 | Upon successful completion of the course, learners will be awarded with an e-Certificate of Completion. |
Standard Course Fee: S$1,500
Promotional fee for NTU Alumni: S$50
Limited number of subsidised places available on a first-come, first-served basis.
 | Ian Tan Ian Yong Hoe Tan is a university lecturer, Generative AI coach, and communications consultant with 24 years of experience across the media, consumer technology, and gaming industries. He is a full-time lecturer at NTU Wee Kim Wee School of Communication and Information, where he teaches marketing, advertising, public relations, and journalism, and also trains executives in leadership communication at the Nanyang Business School. As a Generative AI coach, Ian has conducted programmes for many organisations such as DBS, Singapore Airlines, MINDEF, OCBC, SingHealth, Canon, IHH Healthcare, PSA, Sembcorp, Belkin, and the Singapore School of the Arts. He also leads The Straits Times Generative AI Masterclasses and trains creative teams in blending AI with traditional design. Ian previously worked in journalism at Singapore Press Holdings and later held senior leadership roles at Microsoft, Razer, and Lenovo — leading regional and global teams and contributing to Razer’s US$4 billion IPO. A LinkedIn Top Voice since 2024, he writes regularly on communications, AI, and business excellence on LinkedIn, his ThinkTan website, and as a columnist for Channel NewsAsia. |