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IoT with Raspberry Pi

Sessions 2 days
Duration 15 hrs
Level Beginner
Assessment NA

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.

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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.

IoT with Raspberry Pi

Course Code: C203

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IoT with Raspberry Pi teaches you how to build real Internet of Things projects using the Raspberry Pi, a low-cost, credit-card-sized computer that is ideal for connecting sensors and devices to the cloud. Working with our IoTFlow platform, you will connect hardware, collect data, visualise it on dashboards and control devices remotely. The course is designed for engineers, IT professionals, educators, students and makers who want a practical, hands-on introduction to IoT.

You will begin with an overview of the Internet of Things, exploring IoT architecture, sensors and actuators, communication protocols such as MQTT and HTTP, and real-world applications in smart homes, buildings, agriculture and industry. Next you will collect and post environmental data to the cloud, wiring temperature, humidity and light sensors to the Raspberry Pi and writing Python code to read them and send the data to the IoTFlow cloud platform.

The course then covers IoT data analytics and visualisation, building dashboards, charts and simple analyses that turn sensor readings into useful insights. The final topic focuses on monitoring data to trigger control from the cloud, setting thresholds and rules that switch LEDs, relays or other devices automatically or remotely. Every topic is hands-on with real hardware, and you will also cover basic IoT security practices such as protecting device credentials and keeping software up to date. By the end, you will be able to design, build and run a complete IoT solution using the Raspberry Pi and a cloud platform.

This course is not eligible for funding. If you would like to use SkillsFuture Credit or claim WSQ course fee funding, take the funded WSQ version of this course instead: WSQ - Mastering Raspberry Pi: Hands-On Practical Applications for Beginners.

Course Fee

$700.00 (GST-exclusive)

$763.00 (GST-inclusive)

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
Corporate Training at Company Premise

Course Date * Course Date

Course Time * Course Time

9:30am - 5:30pm

No. of Participants

Sponsorship

Self-Sponsored
Employer-Sponsored

Name(s) on Certificate *

Additional Message or Emails for Course Notification

* Required Fields

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 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

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

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 can download and install the following software:

RealVNC Viewer

Hardware: Windows and Mac Laptops

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

Man Guo Chang graduated from Nanyang Technological University, School of Electrical and Electronic Engineering, major in Computer Engineering.
He has more than 25 years of working experience in the Semiconductor field, specialized in IC Testing, Inline Electrical Testing, Product & Yield Engineering, Data Analysis, System Engineering, and Software Development. He is also an ACTA certified trainer, currently providing STEM training to adult learners in the area of Computer Vision, Internet of Things, Embedded Electronics, and Python Programming

Richard Wan is an ACLP-certified lecturer and software consultant with over 40 years of experience in software and hardware development, spanning AI, computer vision, and machine learning. He began his programming career with 8-bit computing in the late 1970s and went on to earn his M.Sc. in Electrical Engineering (Computer Vision) from the University of Wisconsin–Madison. His professional contributions include co-founding multiple high-tech companies, pioneering digital publishing technologies, and leading AI-driven software development in healthcare, defense, and manufacturing. Richard has taught a wide range of technical courses, including machine learning with Scikit-Learn, deep learning with TensorFlow and PyTorch, and computer vision with OpenCV. In predictive analytics, he emphasizes the use of PyTorch for building deep learning models that can forecast trends, detect anomalies, and classify outcomes. His teaching approach blends decades of hands-on development with structured, beginner-friendly instruction, equipping learners with practical skills to transform data into prediction.

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.