Course Details
Topic 1 Overview of Internet of Things (IoT)
- What is Industry 4.0 and IoT?
- The emerging new business models with IoT
- Sensors and Actuators for IoT
- Wireless Communication Technologies for IoT
Topic 2 Potential Opportunities of IoT Innovation
- IoT Use Cases for Agriculture
- IoT Use Cases for Autonomous Vehicles
- IoT Use Cases for Fleet Tracking
- IoT Use Cases for Smart Building
- IoT Use Cases for Healthcare and Wearable Devices
- IoT Use Cases for Drones
Topic 3 IoT Technology
- Cloud Computing for IoT
- Setup Cloud Computing Account
- Post Data to Cloud Computing Server
- Data Analytics and Visualization
- Actions on Data
Topic 4. IoT Adoption
- Challenges of IoT Adoption
- IoT Security
- Cost-Benefit Analysis of IoT Implementation
Topic 5: IoT Implementation
- Success Factors of IoT Implementation
- Design Thinking Approach to IoT Implementation
Mode of Assessment
- Practical Performance (PP)
- Oral Questioning (OQ)
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.
- Minimum 18 years old
Minimum Software/Hardware Requirement
Software: NIL
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.
Job Roles
- IoT Product Manager
- Innovation Manager
- IoT Solutions Architect
- Smart City Planner
- R&D Specialist
- Business Strategist
- Digital Transformation Lead
- Manufacturing Process Manager
- IoT Data Analyst
- Connected Devices Engineer
- Operations Manager (IoT-focused)
- Smart Grid Specialist
- Home Automation Developer
- Supply Chain Innovation Manager
- Industrial Automation Strategist
Trainers
Koh Boon Hiap (Shawn) – Shawn Koh is an ACTA-certified trainer, entrepreneur, and IoT project director with more than 25 years of experience in software development, project management, and system integration. A former Vice President at Singapore Exchange and solution architect at ST Electronics, he has delivered large-scale mission-critical systems and later transitioned into building IoT smart solutions through his company I.O.T. Workz. As a Smart Nation ambassador and guest speaker, Shawn has been actively involved in promoting IoT innovations for schools, enterprises, and government-linked projects.
In his IoT innovation training, Shawn focuses on guiding learners through practical applications of IoT for business transformation. His sessions cover sensor integration, IoT platform deployment, and real-world case studies such as smart homes, IoT farming simulators, and enterprise automation. By combining deep technical expertise with leadership experience, Shawn equips participants to design and implement IoT-driven innovations that improve efficiency, transparency, and customer experience.
Tan Woei Ming – Tan Woei Ming is an ACLP-certified trainer and data science professional with more than a decade of experience in semiconductor analytics, IoT, and AI applications. He holds a Master’s degree in Intelligent Systems from the National University of Singapore and a First-Class Honours degree in Electrical and Electronic Engineering from Nanyang Technological University. At Micron Semiconductor, he spearheaded IoT-enabled cloud solutions, wafer map pattern recognition, and deep learning models for manufacturing optimization.
In his training, Woei Ming emphasizes bridging IoT hardware integration with data analytics for Industry 4.0. He introduces learners to IoT fundamentals, cloud connectivity, and the use of AI to derive insights from sensor data. With his strong academic background and industry projects, Woei Ming ensures participants gain the skills to harness IoT for innovative solutions in manufacturing, automation, and smart systems development.
Richard Wan – Richard Wan is an ACLP-certified lecturer with over 40 years of experience in AI, computer vision, IoT, and embedded systems development. A government scholar, he holds a Master’s in Computer Vision and a Bachelor’s in Electrical Engineering and Computer Science from the University of Wisconsin, Madison. Richard has co-founded several high-tech companies, including Mediaring Ltd (SGX-listed) and E-Book Systems, and has led R&D projects at Singapore’s National Computer Board and in private enterprises.
As a trainer, Richard delivers IoT innovation courses with a focus on embedded systems, connectivity, and real-world applications. His sessions cover the integration of IoT devices using platforms like Arduino and Raspberry Pi, paired with analytics to enhance decision-making. With his decades of technical and entrepreneurial experience, Richard equips learners with both conceptual understanding and practical know-how to drive IoT-enabled business innovation.
Fritz Lim – Fritz Lim is an ACTA-certified trainer and software developer with over 15 years of teaching experience in IT, coding, and IoT applications. A graduate in Electrical and Electronic Engineering from NTU, he has developed IoT projects such as automation systems with Arduino and Raspberry Pi, as well as web and mobile applications integrated with cloud services. Fritz has taught across polytechnics, academies, and training organizations, empowering learners in areas like web development, Python, JavaScript, and IoT fundamentals.
In his IoT innovation training, Fritz emphasizes hands-on prototyping and practical deployment. His courses guide participants through IoT architecture, sensor integration, and cloud-based analytics, ensuring they can design solutions that improve efficiency and user experience. By combining technical expertise with a learner-centered teaching style, Fritz helps participants explore IoT as a powerful enabler for business innovation and digital transformation.
Customer Reviews (31)
- will recommend Review by Course Participant/Trainee
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Thanks Shawn! (Posted on 1/23/2022)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 - will recommend Review by Course Participant/Trainee
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. (Posted on 11/22/2021)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 - will recommend Review by Course Participant/Trainee
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. (Posted on 9/26/2021)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 - will recommend Review by Course Participant/Trainee
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. (Posted on 7/19/2021)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 - will recommend Review by Course Participant/Trainee
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. (Posted on 1/26/2021)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 - will recommend Review by Course Participant/Trainee
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. (Posted on 1/25/2021)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 - will recommend Review by Course Participant/Trainee
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. (Posted on 11/17/2020)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 - will recommend Review by Course Participant/Trainee
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. (Posted on 10/8/2020)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 - will recommend Review by Course Participant/Trainee
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. (Posted on 9/18/2020)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 - will recommend Review by Course Participant/Trainee
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. (Posted on 9/17/2020)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 - will recommend Review by Course Participant/Trainee
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To have demo on practical application1. 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
To have online assessment (Posted on 9/17/2020)








