Course Details
Topic 1: Overview of Internet of Things (IoT)
- What is IoT?
- Sensors and Actuators for IoT
- Wireless Communication Technologies for IoT
- IoT Applications and Use Cases
Topic 2: Collect and Post Environmental Data to Cloud
- What is Cloud Computing
- Setup Cloud Computing Account
- Collect Environmental Data with Sensors
- Transmit Environmental Data using Raspberry Pi
- Introduction of Node-Red on Raspberry Pi
- Post Data to Cloud using Node-Red MQTT or REST API
Topic 3: IoT Data Analytics and Visualization
- Analyze IoT Data on Cloud
- Visualize IoT Data on Cloud
Topic 4: Monitor Data to Trigger Control from Cloud
- Read Data using Node-Red MQTT or REST API
- Trigger Control on Devices
- IoT Security
Final Assessment
- Written Assessment - Short Answer Questions (WA-SAQ)
- Practical Performance (PP)
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:
You can download and install the following software:
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
Richard Wan – Richard Wan is an ACLP-certified lecturer with more than 40 years of experience in hardware and software development, specializing in embedded systems, AI, IoT, and computer vision. 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. He has co-founded several technology firms, including Mediaring Ltd (SGX-listed) and E-Book Systems, and has extensive R&D experience with the National Computer Board.
In his Raspberry Pi training, Richard emphasizes practical, hands-on applications, covering sensor integration, Python programming, and real-world IoT projects. His courses introduce learners to the fundamentals of embedded systems and guide them in creating prototypes for automation, monitoring, and smart applications. By leveraging his deep technical expertise and entrepreneurial background, Richard ensures participants gain both theoretical understanding and practical confidence in applying Raspberry Pi solutions.
Ferris Kwok – Ferris Kwok is an ACLP-certified trainer with extensive experience in electronics, robotics, and IoT systems development. With a background in microcontroller programming and hardware prototyping, he has trained learners in Arduino, Raspberry Pi, and robotics platforms across education and industry settings. Ferris has designed and delivered practical courses that integrate electronics, coding, and sensor-based systems, helping learners bridge the gap between theory and applied innovation.
In his Raspberry Pi training, Ferris focuses on equipping learners with foundational skills in hardware setup, GPIO programming, and Python-based project development. His sessions emphasize experimentation, where participants build hands-on projects such as automation systems, robotics applications, and basic IoT solutions. By blending technical knowledge with learner-centered facilitation, Ferris enables beginners to confidently apply Raspberry Pi in practical contexts.
Tan Woei Ming – Tan Woei Ming is an ACLP-certified trainer and data science professional with more than 10 years of experience in semiconductor analytics, AI, and IoT applications. He holds a Master’s 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 applied Raspberry Pi and IoT technologies to cloud-enabled process monitoring and machine learning-driven analytics.
In his Raspberry Pi courses, Woei Ming highlights the integration of hardware and data science for Industry 4.0 applications. His training covers setting up Raspberry Pi environments, programming sensors, and connecting devices to cloud analytics platforms. By combining academic rigor with real-world industry experience, he ensures learners gain both the technical skills and applied knowledge to create impactful Raspberry Pi projects.
Shawn Koh Boon Hiap – Shawn Koh is an ACTA-certified trainer, entrepreneur, and IoT project director with more than 25 years of experience in system integration, project management, and software development. He has delivered smart office, smart home, and IoT lab projects through his company I.O.T. Workz, and previously held senior roles at the Singapore Exchange and ST Electronics. As a Smart Nation ambassador and guest speaker, he actively promotes the adoption of IoT and emerging technologies in Singapore.
In his Raspberry Pi training, Shawn emphasizes real-world use cases such as smart farming, automation, and sensor-based monitoring. His sessions guide learners through Raspberry Pi setup, Python coding, and IoT integration, ensuring participants gain practical skills to innovate with embedded systems. With his strong technical and leadership background, Shawn enables learners to explore Raspberry Pi as a tool for business innovation and personal projects.
Ken Yuen – Ken Yuen is an ACTA-certified trainer specializing in STEM education, IoT, and embedded systems. With a background in electrical and electronics engineering from NTU, he has taught IoT and Raspberry Pi programs in schools, polytechnics, and adult learning institutions. He has also developed IoT-based SCADA and monitoring systems as a Technical Consultant, giving him strong insights into applying Raspberry Pi in industrial contexts.
In his Raspberry Pi training, Ken focuses on hands-on experimentation with microcontrollers, sensors, and automation systems. His courses introduce learners to Python programming, GPIO interfaces, and IoT integration, allowing them to build functional prototypes and applications. By blending technical depth with practical teaching, Ken ensures participants gain the confidence to use Raspberry Pi for both learning and real-world problem-solving.
Customer Reviews (67)
- Average Rating: 4.3/5 Review by Course Participant/Trainee
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It would be good to provide everyone a personal raspberry pi to bring home. It could be costed in the course fees. (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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Aircon not cool (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 - will recommend Review by Course Participant/Trainee
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. (Posted on 9/5/2025)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 - willl recommend Review by Course Participant/Trainee
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. (Posted on 5/28/2025)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 1/6/2025)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 1/6/2025)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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.6Gwx6 (Posted on 10/20/2024)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 7/2/2024)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 5/5/2024)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 2/2/2024)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 2/2/2024)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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Provide the hardware, so that attendee is able to self practise what was learnt. (Posted on 4/11/2023)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 2/24/2023)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 9/6/2022)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 6/12/2022)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 6/12/2022)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 6/12/2022)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 - The labs are interesting Review by Course Participant/Trainee
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The labs are interesting (Posted on 3/31/2022)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 12/7/2021)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 12/7/2021)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








