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CASL - IoT with Arduino

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.

Funding for this course is valid from 9 Aug 2026 to 8 Aug 2027. Register and complete the course within this period to qualify for funding support.

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.

Download Course Brochure

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.

CASL - IoT with Arduino

Course Code: TGS-2026064710

CASL
PSEA
UTAP
SFEC
Absentee Payroll
MCES

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This course provides a practical, hands-on introduction to the Internet of Things (IoT) using Arduino. Participants will learn how IoT systems work and develop the skills to build connected applications using Arduino microcontrollers, sensors, actuators, communication technologies, and cloud platforms.

Learners will set up the Arduino programming environment, write and upload programs, interface with sensors and electronic components, and collect real-time data from physical devices. The course also covers connecting Arduino-based devices to networks and using MQTT communication protocols to exchange data between IoT devices and cloud services.

Participants will learn to configure IoT cloud dashboards to visualise and monitor sensor data, manage device data, and create triggers and automated responses based on predefined conditions. Through practical activities, learners will build IoT solutions that integrate hardware, software, connectivity, and cloud-based monitoring.

The course also introduces essential IoT security practices, including device security, secure communication, access control, and data protection. By the end of the course, participants will be able to design, develop, test, and manage Arduino-based IoT applications for a range of real-world use cases.

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

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 Form Submit PSEA Form

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

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.

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

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

Written Exam
Practical Exam

Course Info

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:

You will need the following for this course:

Arduino IDE – free

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).

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 PSEA (Singapore Citizens with a PSEA), or partly reimbursed by UTAP for NTUC members.

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.

Check your company's SFEC eligibility and balance on EnterpriseSG.
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.
Your employee attends and completes the course. We submit the attendance and assessment results to SWDA.
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.

Make sure your NTUC membership is paid up before the course starts.
Register for this course with us and pay the course fee after funding.
Attend at least 75% of the course and sit all assessments.
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.
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).
NTUC usually pays the claim within 4 weeks of submission.

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.

Check that this course shows the PSEA tag on its MySkillsFuture page.
Check your PSEA balance on MOE's Student Finance System with Singpass.
Download and complete the PSEA withdrawal form, then submit it to us.
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.
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.

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.
Discuss the decision with the assessor or the assessment manager first.
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.
Lodge your appeal within 7 days, giving your reasons, using the Candidate Appeal Form. The assessor can help you write and lodge it.
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.
You will be told the outcome within 2 weeks of lodging the appeal. The panel's decision is final.

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

Mr Tan Woei Ming is the trainer for Tertiary Courses' Arduino and IoT courses and an Instructor, Software Developer and Agentic Automation specialist at Tertiary Infotech. His engineering credentials are strong: he graduated with First-Class Honours in Electrical and Electronic Engineering from NTU, the foundation for his work with microcontrollers, sensors and embedded hardware, and later completed a Master of Intelligent Systems at NUS. As a Data Scientist and then Data Science Lead at Micron Technology, he led AI initiatives in predictive analytics, automation and process optimisation in the semiconductor and manufacturing industries, experience that informs how he teaches learners to connect devices to data and put that data to work. He is an ACLP-certified trainer. As a software developer, he also helps learners write tidy, reliable microcontroller code.

This CASL course is a practical introduction to building connected applications with Arduino. Mr Tan first covers the key concepts of IoT, the devices involved, communication standards and common applications. Learners then set up their equipment and programming environment, write and upload programs to an Arduino microcontroller, and establish MQTT communication with a cloud server. The third topic focuses on collecting sensor data for process control and setting up an IoT cloud dashboard to monitor it, and the final topic shows how to manage data and set triggers so that the system takes action automatically, alongside the IoT security practices every connected deployment needs. Mr Tan brings an automation mindset to the class, helping learners see IoT not as a collection of gadgets but as systems that sense, decide and act. His hands-on, supportive style means participants complete the course with a functioning, cloud-connected Arduino project and a clear grasp of how each piece fits together.

Shawn Koh Boon Hiap is an ACTA-certified trainer, IoT specialist and entrepreneur, and the founder of I.O.T. Workz, which offers integrated IoT solutions for residential, commercial and industrial use. A Smart Nation ambassador, he was invited by the Prime Minister's Office in December 2019 as a guest speaker at a Smart Nation event. His skills span IoT integration and development, software development, network and system administration, information security and project management, and he holds certifications including PMP, Information Security and Linux Administration. With over 25 years in technology solutions, his expertise covers microcontrollers, MQTT, SoC development, electronics and IoT lab setups for schools and enterprises, and he has trained professionals and educators in IoT integration.

In CASL - IoT with Arduino, Shawn brings real-world applications of microcontrollers in smart homes, sensor networks and industrial IoT into the classroom. Learners start with an overview of IoT technologies, devices, communication standards and applications, then program Arduino microcontrollers and establish MQTT communication with a cloud server. They go on to collect sensor data for process control and set up an IoT cloud dashboard to monitor it. His emphasis on system integration, connectivity and troubleshooting helps participants build functional IoT prototypes and understand both the technical and applied sides of IoT development.

Fritz Lim is an ACTA-certified trainer and experienced educator whose portfolio includes IoT prototypes built on platforms such as Arduino, micro:bit and Makeblock, as well as robotics education and web and mobile app development. He has more than 15 years of teaching experience in IT, software development and electronics, and holds 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.

In CASL - IoT with Arduino, Fritz emphasises hands-on, project-based learning. He guides learners through key IoT concepts, devices and communication standards, then microcontroller programming as they set up their equipment and programming environment and establish MQTT communication with a cloud server. Participants go on to collect sensor data for process control, set up an IoT cloud dashboard for monitoring, and manage data and triggers that act on what the sensors report. By combining technical rigour with accessible teaching, Fritz ensures learners acquire both the coding and hardware skills needed to build connected IoT solutions from the ground up.

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

In CASL IoT with Arduino, Richard teaches learners how to program microcontrollers, integrate sensors and deploy IoT devices for real-world applications. Participants are introduced to key IoT concepts, devices, communication standards and applications, then set up the Arduino programming environment and establish MQTT communication with a cloud server. They collect sensor data for process control, set up an IoT cloud dashboard to monitor the process, and use data and triggers to control it, while addressing IoT security. Blending academic knowledge with decades of hands-on engineering experience, he equips participants with the skills to design reliable and scalable IoT systems.