Course Information

  • Sessions 2 days
  • Duration 16 hrs
  • Level Beginner
  • Assessment 2 hrs

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

Skills Framework

TSC Title
Internet of Things Application
TSC Code
PTP-TEM-3002-1.1

Funding Validity

Funding for this course is valid from 20 May 2020 to 19 May 2028. Register and complete the course within this period to qualify for funding support.

Learning Outcomes

By end of the course, learners should be able to

  • LO1: Understand the uses and functions of IoT technologies
  • LO2: Post sensor data to cloud for IoT review
  • LO3: Control devices from cloud data sources  
  • LO4: Data analytics and visualization on cloud to gain business insight

Course Brochure

Certification

  • Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.
  • 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 - Internet of Things (IoT) Fundamental for Beginners

Course Code: TGS-2020504020
  • WSQ
  • SFC
  • PSEA
  • UTAP
  • SFEC
  • Absentee Payroll
  • MCES
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What's This Course About

Curious about how the Internet of Things (IoT) is reshaping the world around you? Our WSQ IoT Fundamental for Beginners course offers a solid foundation for understanding this transformative technology. Learn the basics of how smart devices communicate, collect data, and interact with the environment. Explore key IoT components such as sensors, actuators, and network protocols, providing you with the essential knowledge to understand and engage with IoT systems.

Beyond the fundamental concepts, our course dives into practical applications. Learn how to analyze data from IoT devices, enabling informed decision-making. You'll also discover how IoT is applied across various sectors, such as healthcare, smart cities, and industrial automation. By grasping these concepts and their real-world applications, you'll be well-equipped to navigate the ever-expanding landscape of IoT, whether for personal interest or professional advancement.

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

WSQ Funding

Full Fee $750.00 Before GST
GST $67.50 9% of fee
Baseline Nett $442.50 SG/PR age 21+ · 50% funded
MCES / SME Nett $292.50 SG age 40+ · 70% funded
SkillsFuture Enterprise Credit (SFEC)

Eligible companies can use their $10,000 SFEC to cover up to 90% of out-of-pocket course fees for classes ending on or before 30 Nov 2026. A redesigned SFEC starts on 1 Dec 2026.

View on SkillsFuture for Business

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.

Direct Application on SkillsFuture Portal

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.

Submit UTAP Claim

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding.

Check PSEA Eligibility

  • 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, then submit the completed form to us:

PSEA Withdrawal FormSubmit PSEA Form

Course FeeBefore Funding

$750.00 (GST-exclusive)
$817.50 (GST-inclusive)

Course Date

* Required Fields

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

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.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • 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

Course Details

What You'll Learn

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 Data to Cloud

Cloud Computing for IoT

Setup Cloud Computing Account

Collect Data with Sensors

Transmit Data using ESP8266

Post Data to Cloud using MQTT or REST API

Topic 3 Read Data and Remote Control Devices from Cloud

Read Data using MQTT or REST API

Remote Control Devices from Cloud

Topic 4 IoT Data Analytics and Visualization

Analyze IoT Data on Cloud

Visualize IoT Data on Cloud

IoT Security

Assessment

  • Written Exam
  • Practical Exam

Course Info

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 will need the following for this course:

Hardware: Windows PC or Mac laptop

Funding Eligibility Criteria

Self-sponsored learners (individuals)

  • Singapore Citizens and Singapore Permanent Residents aged 21 and above.
  • Up to 50% course fee funding. Singapore Citizens aged 40 and above receive up to 70% under the Mid-career Enhanced Subsidy (MCES).
  • Singapore Citizens aged 25 and above can pay the remaining fee with SkillsFuture Credit.

Company-sponsored learners

  • Singapore Citizens and Singapore Permanent Residents who are direct employees of the sponsoring company.
  • Up to 50% course fee funding, or up to 70% for employees of SMEs (Enhanced Training Support for SMEs) and for Singapore Citizens aged 40 and above. An SME has no more than 200 employees or an annual turnover of no more than $100 million.
  • Employers can also claim Absentee Payroll funding for employees who attend during working hours.
  • Eligible companies can offset their out-of-pocket fees with SkillsFuture Enterprise Credit (SFEC).

Conditions for all funded learners

  • Attendance is taken digitally with Singpass for every session, including the assessment.
  • You must complete the course and pass all assessments (assessed as Competent).
  • If these conditions are not met, the funding is clawed back and the learner or employer pays the full course fee.
  • 9% GST is charged on the full course fee before funding.
  • Promo and discount codes cannot be used on funded courses.
  • Any balance after funding can be paid in cash, with SkillsFuture Credit, with PSEA (Singapore Citizens with a PSEA), or partly reimbursed by UTAP for NTUC members.

How to Apply SkillsFuture Credit Claim for Individuals

Singapore Citizens aged 25 and above can use their SkillsFuture Credit (base tier) to pay the course fee after funding. The $4,000 mid-career top-up cannot be used for this course.

  1. Register for this course as self-sponsored and tell us you will use SkillsFuture Credit. Do not pay the amount you plan to claim.
  2. We email you an invoice showing the course fee after funding.
  3. From 60 days before the course starts, and no later than the course start date, log in to MySkillsFuture with Singpass and click Claim credits.
  4. Click Submit a Claim and search for this course by its course code, TGS-2020504020.
  5. Select your class start date, enter the course fee payable after funding and the amount of credit to claim, then upload the invoice (PDF, JPG or PNG, under 4MB).
  6. Review, accept the terms and click Agree and Submit. The credit is paid directly to us; processing can take up to 14 working days.

Changing or withdrawing: cancel the claim on MySkillsFuture at least one day before the course starts. If your class date changes, cancel the claim and submit a new one with the new date.

How to Apply SkillsFuture Enterprise Credit (SFEC)

SFEC helps companies pay for employee training. The current SFEC ends on 30 November 2026, and a redesigned SFEC starts on 1 December 2026.

Current SFEC: classes ending on or before 30 November 2026

  • Eligible companies received a one-off $10,000 credit, notified by letter to their Corppass administrator. Eligibility generally required at least 3 Singapore Citizen or PR employees and Skills Development Levy contributions.
  • SFEC covers up to 90% of the company's out-of-pocket course fee after other subsidies.
  1. Check your company's SFEC eligibility and balance on EnterpriseSG.
  2. Register your Singapore Citizen or PR employee for a class that ends by 30 November 2026, as company-sponsored, and pay the course fee after funding.
  3. Your employee attends and completes the course. We submit the attendance and assessment results to SWDA.
  4. No separate claim is needed. SFEC is calculated automatically once the course fee grant is approved and is paid quarterly to your company's IRAS GIRO or PayNow Corporate account.

Any unused balance of the current SFEC expires on 30 November 2026.

Redesigned SFEC from 1 December 2026

Companies with at least 3 resident employees receive a fresh $10,000 in an online SFEC wallet that offsets out-of-pocket fees upfront at enrolment, instead of reimbursing them afterwards. SWDA has not yet published the support rates and claim steps; see OurWorkforce or our SFEC guide.

How to Apply UTAP (NTUC Members)

NTUC members can claim 50% of the unfunded course fee under the Union Training Assistance Programme (UTAP), capped at $250 a year (aged below 40) or $500 a year (aged 40 and above). The cap is shared with UTAP claims for AI tool subscriptions.

Eligibility: you must be an NTUC member paying full membership fees, with your membership paid up before and during the course and when you claim. The course must not be fully paid for by your employer or another source.

  1. Make sure your NTUC membership is paid up before the course starts.
  2. Register for this course with us and pay the course fee after funding and SkillsFuture Credit.
  3. Attend at least 75% of the course and sit all assessments.
  4. Within 6 months after the course ends, go to the NTUC U Portal, open UTAP under E-services, log in with Singpass and choose Course Fee Claim.
  5. Enter the nett course fee you paid (after all subsidies and SkillsFuture Credit, including GST), and upload your invoice or receipt and your certificate or result slip (PDF, JPG or PNG, up to 5MB each).
  6. NTUC usually pays the claim within 4 weeks of submission.

Read more in our UTAP guide.

How to Apply PSEA

Singapore Citizens with a Post-Secondary Education Account (PSEA), which stays open until around the year you turn 31, can use it to pay the course fee after funding for PSEA-approved courses. You can also use a sibling's PSEA after your own has been used up.

  1. Check that this course shows the PSEA tag on its MySkillsFuture page.
  2. Check your PSEA balance on MOE's Student Finance System with Singpass.
  3. Download and complete the PSEA withdrawal form, then submit it to us.
  4. We submit the withdrawal request to MOE. You (and your sibling, if you are using their account) authorise it in the Student Finance System. Nothing is withdrawn without this authorisation.
  5. MOE pays us directly. If you have already paid, we refund the amount covered by PSEA.

More details: MOE PSEA overview.

Appeal Process

If you disagree with an assessment decision, you have the right to appeal.

  1. When the assessor gives you feedback, say whether you agree with the outcome. If you agree, you and the assessor sign the Assessment Summary Record; if you disagree, do not sign it.
  2. Discuss the decision with the assessor or the assessment manager first.
  3. If you are still not satisfied, tell the assessor you intend to appeal. The assessor records this in the feedback section of the Assessment Summary Record and informs the assessment manager.
  4. Lodge your appeal within 7 days, giving your reasons, using the Candidate Appeal Form. The assessor can help you write and lodge it.
  5. An Assessment Appeal Panel reviews the information from you and the assessor and makes a decision. A record of the appeal and its outcome is kept.
  6. You will be told the outcome within 2 weeks of lodging the appeal. The panel's decision is final.

Job Roles

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

Trainers

Mr Tan Woei Ming is the trainer for Tertiary Courses' Arduino and IoT courses, and his background spans the Internet of Things from end to end, from electronics to the data and AI that make connected devices useful. He graduated with First-Class Honours in Electrical and Electronic Engineering from NTU, giving him a firm grounding in the circuits, sensors and embedded hardware at the edge of every IoT system, and went on to complete a Master of Intelligent Systems at NUS. In industry, he was a Data Scientist and later Data Science Lead at Micron Technology, leading AI initiatives in predictive analytics, automation and process optimisation in the semiconductor and manufacturing industries, which gave him first-hand experience of turning operational data into decisions. Today he is an Instructor, Software Developer and Agentic Automation specialist at Tertiary Infotech, and an ACLP-certified trainer.

This WSQ course gives beginners a solid foundation in how smart devices communicate, collect data and interact with their environment. Mr Tan opens with the essentials of IoT, including sensors and actuators, wireless communication technologies and real-world applications. Learners then set up a cloud computing account, collect readings with sensors and transmit them using the ESP8266, posting data to the cloud via MQTT or REST API. The third topic reverses the flow, reading data back from the cloud and remotely controlling devices, before the course closes with IoT data analytics. Mr Tan's engineering background helps learners demystify the hardware, while his data science experience shows them why well-structured sensor data matters for the analysis that follows. He teaches patiently and practically, so even participants with no electronics experience leave having built, connected and controlled a working IoT device.

Richard Wan is an ACLP-certified lecturer with over 40 years of experience in hardware and software development across IoT, embedded systems and AI, with deep expertise in platforms such as Arduino, Raspberry Pi and BeagleBone. 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 multiple technology companies, including SGX-listed Mediaring Ltd and E-Book Systems, and has extensive R&D experience with Singapore's National Computer Board.

In WSQ Internet of Things (IoT) Fundamental for Beginners, Richard draws on his embedded systems expertise to make IoT practical from day one. Learners get an overview of IoT, including sensors and actuators, wireless communication technologies and real-world use cases, then collect sensor data and post it to the cloud using the ESP8266 with MQTT or REST APIs. They go on to read data and control devices remotely from the cloud, and finish with IoT data analytics and visualisation. Combining extensive teaching and product development experience, Richard gives learners practical, industry-relevant skills to build and implement IoT solutions.

Fritz Lim is an ACTA-certified trainer with hands-on expertise in IoT and software projects, including IoT-based solutions built with microcontrollers and cloud platforms. A graduate in Electrical and Electronic Engineering from NTU, he has more than 15 years of teaching experience in IT, web development and coding. He has also developed web and mobile applications and managed WordPress integrations, and has taught coding and IoT programmes across schools, private academies and polytechnics, equipping learners from youths to adults with digital skills.

In WSQ - Internet of Things (IoT) Fundamental for Beginners, Fritz emphasises applied learning with sensor-based projects. He guides learners through IoT architecture, connectivity and data handling, starting with what IoT is, sensors and actuators, wireless communication technologies and real-world use cases. Participants then collect data with sensors, transmit it using the ESP8266 and post it to the cloud using MQTT or a REST API, before reading data back and controlling devices remotely from the cloud. With his combined technical expertise and passion for teaching, Fritz helps learners build simple but functional IoT prototypes and the confidence to experiment further.

Ken Yuen is an ACTA-certified adult educator specialising in STEM education, IoT systems and programming. With a background in electrical and electronics engineering from NTU, he has conducted WSQ and SkillsFuture courses in Arduino, Raspberry Pi, micro:bit, Jetson Nano and Python. As a Technical Consultant at Anson Engineering, he developed IoT-based SCADA and temperature monitoring systems for industrial applications, giving him strong industry insight. He is also a registered MOE instructor who has taught coding and robotics programmes in over 50 schools, equipping students and professionals alike with practical IoT and programming skills.

In Internet of Things (IoT) Fundamental for Beginners, Ken draws on this industrial IoT and teaching experience to build a solid foundation in how smart devices communicate, collect data and interact with their environment. Learners explore IoT concepts, sensors and actuators, wireless communication technologies and real-world use cases. They then collect sensor data and post it to the cloud using the ESP8266 with MQTT or REST APIs, read data back and control devices remotely from the cloud, and analyse IoT data. His sessions focus on hands-on experimentation with microcontrollers, sensors and automation, so beginners gain the confidence to build, test and apply IoT solutions in real-world contexts.

Shawn Koh is an ACTA-certified trainer, entrepreneur and IoT solutions expert with over 25 years of experience in software architecture, project management and system integration. As IoT Project Director at I.O.T. Workz Pte. Ltd., he has delivered smart home, smart office and IoT lab solutions for educational institutions and businesses. A former Vice President at Singapore Exchange, he led enterprise technology operations, and was previously part of ST Electronics and the Republic of Singapore Air Force, where he developed real-time monitoring and radar systems. He has also trained teachers at ITE and Spectra Secondary School.

In Internet of Things (IoT) Fundamental for Beginners, Shawn emphasises practical, hands-on learning covering IoT integrations, sensor technologies and cloud-based applications. Learners explore what IoT is, the sensors, actuators and wireless technologies behind it, and real use cases, then collect sensor data and post it to the cloud with the ESP8266 using MQTT or REST APIs. They go on to read data and remotely control devices from the cloud and to analyse IoT data. Drawing on projects such as smart farming systems, Shawn ensures learners gain the foundational knowledge and applied skills to design, deploy and manage IoT solutions.

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