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WSQ - Internet of Things (IoT) Fundamental for Beginners

WSQ - Internet of Things (IoT) Fundamental for Beginners

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.

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

Download WSQ - Internet of Things (IoT) Fundamental for Beginners Brochure

Skills Framework

This course follows the guideline of Internet of Things Application PTP-TEM-3002-1.1 TSC under Public Transport 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
$750.00	$67.50	$442.50	$292.50

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-2020504020)

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-2020504020

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 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

Final Assessment

Written Assessment - Short Answer Questions (WA-SAQ)
Practicum 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: 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

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

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 solutions expert with over 25 years of experience in software architecture, project management, and system integration. A former Vice President at Singapore Exchange, he has 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. As IoT Project Director at I.O.T. Workz Pte. Ltd., Shawn has successfully delivered smart home, smart office, and IoT lab solutions for educational institutions and businesses.

In his IoT training, Shawn emphasizes practical, hands-on learning, covering IoT integrations, sensor technologies, and cloud-based applications. He has trained teachers at ITE and Spectra Secondary School, and delivered IoT projects that simulate real-world use cases, such as smart farming systems. By combining his technical depth with training expertise, Shawn ensures learners acquire the foundational knowledge and applied skills to design, deploy, and manage IoT solutions in personal, educational, and business contexts.

Ken Yuen Kian Sing – Ken Yuen is an ACTA-certified adult educator specializing 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. He is also a registered MOE instructor, having taught coding and robotics programs in over 50 schools, equipping students and professionals alike with practical IoT and programming skills.

In his IoT courses, Ken focuses on hands-on experimentation with microcontrollers, sensors, and automation systems. His prior experience as a Technical Consultant at Anson Engineering saw him develop IoT-based SCADA and temperature monitoring systems for industrial applications, giving him strong industry insight. By blending educational expertise with technical project experience, Ken ensures learners develop the confidence to build, test, and apply IoT solutions in real-world contexts.

Richard Wan – Richard Wan is an ACLP-certified lecturer with over 40 years of experience in both hardware and software development across AI, IoT, and embedded systems. 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 multiple tech companies, including Mediaring Ltd (listed on SGX) and E-Book Systems, and has extensive R&D experience with the National Computer Board.

As a trainer, Richard delivers IoT fundamentals by leveraging his deep expertise in embedded systems such as Arduino, Raspberry Pi, and BeagleBone. His courses cover sensor integration, connectivity protocols, and applications of IoT in automation and smart systems. With his extensive background in both teaching and product development, Richard provides learners with practical, industry-relevant skills to innovate and implement IoT solutions effectively.

Tan Woei Ming – Tan Woei Ming is an ACLP-certified trainer and data science professional with over a decade of experience in semiconductor and manufacturing analytics. Holding a Master’s in Intelligent Systems from NUS and a First-Class Honours degree in Electrical & Electronic Engineering from NTU, he has applied IoT and AI in advanced manufacturing environments. At Micron Semiconductor, he developed yield diagnostic applications, wafer map pattern recognition systems, and IoT-enabled cloud solutions for process optimization.

In his IoT training, Woei Ming focuses on bridging hardware integration with data analytics and AI. He guides learners through IoT fundamentals, from setting up microcontrollers to analyzing data streams for actionable insights. His strong academic foundation and industry background ensure participants gain both conceptual knowledge and practical skills to apply IoT in Industry 4.0 and smart systems development.

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

In his IoT fundamentals training, Fritz emphasizes applied learning using Arduino, Raspberry Pi, and sensor-based projects. His courses guide learners through IoT architecture, connectivity, and data handling, with a focus on building simple but functional IoT prototypes. With his combined technical expertise and passion for teaching, Fritz helps learners build the confidence to design and experiment with IoT systems for personal, educational, or business applications.