JavaScript seems to be disabled in your browser.
You must have JavaScript enabled in your browser to utilize the functionality of this website.

Home
WSQ - Hands-On Guide to IoT Development with Microcontrollers

WSQ - Hands-On Guide to IoT Development with Microcontrollers

13 Review(s) | Add Your Review

Step into the next frontier of technology with our course on Internet of Things (IoT) Implementation using Raspberry Pi Pico W. This course is tailored to equip you with the expertise to develop IoT devices and systems. You'll learn the essentials of microcontroller programming, sensor integration, and data connectivity. By leveraging the power and versatility of Raspberry Pi Pico W, you'll gain practical experience in creating IoT solutions for a range of applications.

Beyond basic IoT implementation, our course also dives into more advanced topics. Explore methods to optimize device-to-device communication, improve data security, and integrate with various types of sensors to collect and analyze data. This in-depth understanding will empower you to design and deploy highly efficient, secure, and reliable IoT systems, making you an invaluable asset in this booming technological field.

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: Apply key concepts of IoT to design an IoT application.
LO2: Setup equipment and programming environment for IoT implementation.
LO3: Manage IoT application on the cloud dashboard.
LO4: Manage data and triggers in IoT applications.

Skills Framework

This course follows the guideline of Internet of Things Implementation AER-TEM-4030-1.11 under Aerospace Skills Framework

Course Brochure

Download WSQ - Hands-On Guide to IoT Development with Microcontrollers

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	$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 up 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.

To check for Post-Secondary Education Account (PSEA) eligibility for this course, Visit SkillsFuture (course code: TGS-2022014979)

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-2022014979

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 IoT Technologies

Key concepts on IoT
Devices used in IoT
IoT communication standards
IoT applications

Topic 2: Microcontroller Programming for IoT

Setup equipment and programming environment
Establish MQTT communication protocol with the cloud server

Topic 3: Sensor data collection and monitoring

• Collect sensor data for process control
• Setup IoT cloud dashboard to monitor process

Topic 4: Manage Data and Triggers

Trigger actions to control process
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
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 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

Fritz Lim – Fritz Lim is an ACTA-certified trainer and experienced educator with over 15 years of teaching in IT, software development, and electronics. With a degree in Electrical and Electronic Engineering from NTU, he has developed and delivered training in Python, Arduino, Raspberry Pi, and microcontroller-based systems for both youths and adults. His portfolio includes web and mobile app development, robotics education, and IoT prototypes using platforms like micro:bit, Arduino, and Makeblock.

In his IoT training, Fritz emphasizes hands-on, project-based learning. He guides learners through microcontroller programming, sensor integration, and device connectivity, helping them design and test IoT prototypes. By combining technical rigor with accessible teaching methods, he ensures learners acquire both the coding and hardware skills needed to build IoT solutions from the ground up.

Richard Wan – Richard Wan is an ACLP-certified trainer with more than 40 years of experience in software and hardware development, including AI, computer vision, and embedded systems. A government scholar with degrees in Electrical Engineering and Computer Science from the University of Wisconsin, he has co-founded multiple tech companies and contributed to R&D in areas like image processing, control systems, and IoT. His teaching experience covers Python, C/C++, embedded C, microcontrollers, and IoT technologies.

In his IoT development courses, Richard brings deep industry expertise to the classroom. He teaches learners how to program microcontrollers, integrate sensors, and deploy IoT devices for real-world applications. By blending academic knowledge with decades of hands-on engineering experience, he equips participants with the skills to design reliable and scalable IoT systems.

Tan Woei Ming – Tan Woei Ming is an ACLP-certified trainer and Data Science Lead at Micron Semiconductor Asia, with over 15 years of experience in embedded systems, machine learning, and automation. Holding a Master’s in Intelligent Systems from NUS, he has developed IoT applications on Raspberry Pi, including speech assistants, mobile robots, and computer vision–based object detection. His professional expertise bridges microcontrollers, Python, and AI integration for Industry 4.0 applications.

In his IoT training, Woei Ming emphasizes the intersection of hardware and intelligence. He trains learners to program microcontrollers, connect devices via IoT protocols, and integrate AI models into embedded platforms. His hands-on teaching style ensures participants gain practical skills in both IoT development and intelligent automation.

Shawn Koh Boon Hiap – Shawn Koh is an ACTA-certified trainer, IoT consultant, and entrepreneur with more than 25 years of experience in technology solutions. A Smart Nation ambassador, he has designed and delivered IoT systems for residential, commercial, and industrial applications, and has trained professionals and educators in IoT integration. His expertise spans microcontrollers, MQTT, SoC development, electronics, and IoT lab setups for schools and enterprises.

In his IoT training, Shawn provides learners with real-world applications of microcontrollers in smart homes, sensor networks, and industrial IoT systems. He emphasizes system integration, connectivity, and troubleshooting, equipping learners to design functional IoT prototypes. With his strong background as a solution architect and trainer, he ensures participants understand both the technical and applied aspects of IoT development.