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Course Details
Course Details
What You'll Learn
Topic 1: Overview of Internet of Things (IoT)
Topic 2: Collect and Post Environmental Data to Cloud
Topic 3: IoT Data Analytics and Visualization
Topic 4: Monitor Data to Trigger Control from Cloud
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.
Target Age Group: 21-65 years old
Minimum Software/Hardware Requirement
Software:
You will need the following for this course:
- RealVNC Viewer – free
Hardware: Windows PC or Mac laptop
Job Roles
Job Roles
- IoT Developer
- Embedded Systems Engineer
- Cloud Engineer
- Data Analyst (IoT)
- IoT Security Specialist
- Automation Engineer
- Smart Systems Developer
- Wireless Communication Engineer
- IoT Solutions Architect
- Cloud Data Engineer
- AI & IoT Integration Engineer
- IoT Network Engineer
- IT Support Specialist (IoT)
- Raspberry Pi Developer
- IoT Consultant
- Robotics Engineer
- Systems Integration Specialist
- Industrial IoT Engineer
- Home Automation Developer
- Edge Computing Engineer
Trainers
Trainers
Mr Tan Woei Ming brings an engineer's precision and a data scientist's curiosity to Internet of Things projects. He holds First-Class Honours in Electrical and Electronic Engineering from NTU and a Master of Intelligent Systems from NUS, and he spent his industry career at Micron Technology as a Data Scientist and later Data Science Lead, leading AI initiatives in predictive analytics, automation and process optimisation for the semiconductor and manufacturing industries. That combination of hardware knowledge on one side and data and AI expertise on the other is exactly what IoT demands, since the value of a connected sensor lies in what is done with its readings. Mr Tan is an Instructor, Software Developer and Agentic Automation specialist at Tertiary Infotech, the trainer for Tertiary Courses' Arduino and IoT courses, and an ACLP-certified trainer.
IoT with Raspberry Pi is designed for engineers, IT professionals, educators and makers who want to build real IoT projects on a low-cost, credit-card-sized computer. Mr Tan starts with an overview of IoT and then has learners collect environmental data from sensors and post it to the cloud using the course's IoTFlow platform. Learners go on to analyse and visualise their data on dashboards, and finally monitor that data to trigger control actions on connected devices from the cloud, closing the loop between sensing and action. Throughout, Mr Tan explains both the electronics and the data flow, so learners understand what is happening at every stage rather than simply following steps. He is patient with first-time hardware users and generous with troubleshooting tips, and he encourages learners to imagine how the same pattern could monitor a home, a classroom or a workplace once the course is over.
Ken Yuen is an ACTA-certified adult educator specialising in IoT systems, STEM education and programming. He has conducted WSQ and SkillsFuture courses in Raspberry Pi, Arduino, micro:bit, Jetson Nano and Python, and as a Technical Consultant at Anson Engineering he developed IoT-based SCADA and temperature monitoring systems for industrial applications. He holds a Bachelor of Electrical and Electronics Engineering from Nanyang Technological University and a Diploma in Electronic Engineering from Singapore Polytechnic, and is a certified Project Management Professional (PMP). As an MOE-registered instructor he has taught coding and robotics in over 50 schools.
In IoT with Raspberry Pi, Ken focuses on hands-on experimentation with sensors and automation systems. Learners start with an overview of IoT, then collect environmental data with sensors and post it to the cloud, working with the IoTFlow platform used in the course. They go on to analyse and visualise their data on dashboards and to monitor readings that trigger control of devices from the cloud. Ken's industrial monitoring experience helps participants see how these building blocks apply in real deployments, and his practical teaching ensures they leave able to build, test and extend their own Raspberry Pi IoT projects.
Man Guo Chang is an ACTA-certified trainer who provides STEM training to adult learners in Internet of Things, embedded electronics, computer vision and Python programming. A graduate of Nanyang Technological University's School of Electrical and Electronic Engineering with a major in Computer Engineering, Man Guo Chang brings more than 25 years of working experience in the semiconductor field. That career spans IC testing, inline electrical testing, product and yield engineering, data analysis, system engineering and software development, giving a strong grounding in both hardware behaviour and the software and data work that sits on top of it.
In IoT with Raspberry Pi, Man Guo Chang applies this blend of embedded electronics, software development and data analysis to help learners build working IoT projects step by step. The course begins with IoT architecture, sensors, actuators and communication protocols such as MQTT and HTTP, then moves on to connecting a Raspberry Pi to collect environmental data and post it to the cloud. Learners go on to analyse and visualise that data on dashboards and set up monitoring that triggers device control remotely from the cloud. With years of hands-on engineering and data experience behind the lessons, participants gain practical, confidence-building skills they can carry into smart home, building and industrial IoT applications.
Richard Wan is a software and hardware developer and trainer whose technical expertise includes embedded system programming on microcontrollers, Arduino, Raspberry Pi and BeagleBone, alongside AI, machine learning and computer vision. An ACLP-certified lecturer and ACTA certified trainer, he has decades of development experience spanning computer vision, communication and digital publishing, working with C, C++, Delphi and Visual Studio on Windows and Linux. He holds an M.Sc. in Electrical Engineering (Computer Vision) from the University of Wisconsin-Madison and has co-founded multiple high-tech companies.
In IoT with Raspberry Pi, Richard brings his embedded systems background to building real Internet of Things projects on the Raspberry Pi. Working with the IoTFlow platform, learners get an overview of IoT, collect environmental data with sensors and post it to the cloud, analyse and visualise that data on dashboards, and monitor readings to trigger control of devices from the cloud. His structured, beginner-friendly teaching style, shaped by decades of hands-on development, helps participants connect hardware, write the code to drive it and troubleshoot with confidence. Learners leave able to build and extend their own connected projects for home, work or study.
Review
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. (Posted on 12/6/2024)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - will recommend Review by Course Participant/Trainee
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. (Posted on 12/6/2024)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - will recommend Review by Course Participant/Trainee
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. (Posted on 12/6/2024)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Lecturer is very good! Review by Course Participant/Trainee
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Lecturer is very good! (Posted on 7/7/2023)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - will recommend Review by Course Participant/Trainee
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. (Posted on 12/26/2022)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment
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