WSQ , IBF, SkillsFuture, PEI Approved Training Provider

WSQ - Mastering Raspberry Pi: Hands-On Practical Applications for Beginners

Want to be at the forefront of the IoT revolution? Our WSQ Internet of Things (IoT) Management with Raspberry Pi course offers you a deep dive into managing sophisticated IoT networks. Learn the ins and outs of IoT device management, from setting up Raspberry Pi-powered devices to creating efficient data communication channels. Get hands-on experience in implementing secure and scalable IoT solutions that can be tailored for diverse application needs.

We don't just stop at the technical details. The course also empowers you to make informed IoT management decisions by focusing on data analytics, security protocols, and scalability considerations. You'll gain invaluable insights into ensuring the reliability and efficiency of your IoT networks. Whether you aim to optimize existing systems or spearhead new IoT initiatives, this comprehensive skillset will make you an invaluable asset in the dynamic field of IoT.

Note that the Raspberry kit is used for the training. The course fee does not include the kit.

Learning Outcomes

By end of the course, learners should be able to

  • LO1: Analyze the uses and functions of IoT technologies
  • LO2: Collect environment data and post the data to cloud computing
  • LO3: Use cloud computing to analyse and visualize IoT data 
  • LO4: Monitor data and trigger control on devices

Course Brochure

Download WSQ - Mastering Raspberry Pi: Hands-On Practical Applications for Beginners Brochure

Skills Framework

This course follows the guideline of Internet of Things Management EVS-TEM-4002-1.1 TSC under Environmental Skills Framework

Certification

  • Certificate of Completion from Tertiary Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.

  • OpenCerts from SkillsFuture Singapore - After passing the assessment(s) and achieving at least 75% attendance, participants will receive a OpenCert (aka Statement of Achievement) from SkillsFuture Singapore, certifying that they have achieved the Competency Standard(s) in the above Skills Framework.

WSQ Funding

WSQ funding is only applicable to Singaporeans and PR. Subject to eligibility, the funding support is subjected to funding caps.

Effective for courses starting from 1 Jan 2024
Full Fee GST Nett Fee after Funding (Incl. GST)
Baseline MCES / SME
$900 $81.00 $531.00 $351.00

Baseline: Singaporean/PR age 21 and above
MCES(Mid-Career Enhanced Subsidy): S'porean age 40 & above

Upon registration, we will advise further on how to tap on the WSQ Training Subsidy.


You can pay the nett fee (after the WSQ training subsidy) by the following :

SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.Click here to submit SkillsFuture Enterprise Credit

SkillsFuture Credit (SFC)

Eligible Singapore Citizens can use their SFC to offset course fee payable after funding but the $4,000 Additional SFC (Mid-Career Support) cannot be used. Click here for SkillsFuture Credit submission

UTAP

Eligible NTUC members can apply for 50% of the unfunded fee from UTAP, capped up to $250/year and for members aged 40 and above, capped up to $500/year. Click here to submit UTAP

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding. Please inform us if you intend to use your PSEA funding.

To check for Post-Secondary Education Account (PSEA) eligibility for this course, Visit SkillsFuture (course code: TGS-2020505433)

  • Scroll down to “Keyword Tags” to verify for PSEA eligibility.
  • If there is “PSEA” under keyword tags, the course is eligible for PSEA.

Once you are eligible for PSEA, please download and fill up the PSEA Withdrawal Form and email to us. 

Course Code: TGS-2020505433

Fee

$900.00 (GST-exclusive)
$981.00 (GST-inclusive)

The course fee listed above is before subsidy/grant, if applicable. We will apply for the grant and send you the invoice with nett fee.

Course Date

Course Time

* Required Fields

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Course Cancellation/Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commerce.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom

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
  • Singapore Citizens or Singapore Permanent Residents of age 21 and above
  • From 1 October 2023, attendance-taking for SkillsFuture Singapore's (SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.​
  • Trainee must pass all prescribed tests / assessments and attain 100% competency.
  • We reserves the right to claw back the funded amount from trainee if he/she did not meet the eligibility criteria.
  • Singapore Citizens or Singapore Permanent Residents who are DIRECT EMPLOYEE of the sponsoring company.
  • From 1 October 2023, attendance-taking for SkillsFuture Singapore's (SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.​
  • Trainee must pass all prescribed tests / assessments and attain 100% competency.
  • We reserves the right to claw back the funded amount from the employer if trainee did not meet the eligibility criteria.

 SkillsFuture Credit: 

  • Eligible Singapore Citizens can use their SkillsFuture Credit to offset course fee payable after funding.

 PSEA:

  • To check for Post-Secondary Education Account (PSEA) eligibility, goto mySkillsFuture portal and search for this course code.
  • Scroll down to "Keyword Tags" to verify for PSEA eligibility.
  • If there is “PSEA” under keyword tags, the course is eligible for PSEA.  
  • And if there is no “PSEA” under keyword tags, the course is ineligible for PSEA. 
  • Not all courses are eligible for PSEA funding.

 Absentee Payroll (AP) Funding: 

  • $4.50 per hour, capped at $100,000 per enterprise per calendar year.
  • AP funding will be computed based on the actual number of training hours attended by the trainee.

 SFEC:

  • If the Training Provider has submitted an enrolment for course fee grant claim in Training Partners Gateway (TPGateway), SSG would be able to derive SFEC funding based on this record. There is no need for enterprise to submit any claim request and the SFEC claim will be automatically generated and disbursed.
  • Where there is no such record, eligible employers are required to submit an SFEC claim after course completion via the SFEC microsite.
  • SkillsFuture Enterprise Credit (SFEC) Microsite 

 

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

  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.

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: 3.7/5 Review by Course Participant/Trainee
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Average Rating: 4.0/5 Review by Course Participant/Trainee
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Average Rating: 5.0/5 Review by Course Participant/Trainee
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Average Rating: 5.0/5 Review by Course Participant/Trainee
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Good course for beginners (Posted on 3/13/2026)
Average Rating: 4.7/5 Review by Course Participant/Trainee
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Average Rating: 4.0/5 Review by Course Participant/Trainee
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Average Rating: 4.3/5 Review by Course Participant/Trainee
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Average Rating: 3.3/5 Review by Course Participant/Trainee
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Average Rating: 4.7/5 Review by Course Participant/Trainee
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Average Rating: 5.0/5 Review by Course Participant/Trainee
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Thank you (Posted on 3/13/2026)
Average Rating: 3.7/5 Review by Course Participant/Trainee
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Suggestions: ask participants to bring their own micro SD card reader in the email instructions to save time; WiFi is a bit slow; can ask users to connect both their phone and the RPi to their own hotspot for lower latency over VNC (Posted on 3/13/2026)
Average Rating: 5.0/5 Review by Course Participant/Trainee
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Average Rating: 3.0/5 Review by Course Participant/Trainee
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Average Rating: 3.7/5 Review by Course Participant/Trainee
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Classroom ventilation and cleanliness can be improved (aircon spoilt) (Posted on 3/13/2026)
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Average Rating: 4.0/5 Review by Course Participant/Trainee
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Classroom can be bigger (Posted on 3/13/2026)
Average Rating: 4.7/5 Review by Course Participant/Trainee
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Average Rating: 4.0/5 Review by Course Participant/Trainee
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Average Rating: 5.0/5 Review by Course Participant/Trainee
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Thanks CK! Enjoyed the lesson (Posted on 3/13/2026)

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