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Essential Raspberry Pi Training in Singapore

Course Information

  • 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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Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

IoT with Raspberry Pi

Course Code: C203

162 Review(s) | Add Your Review

What's This Course About

Build real Internet of Things (IoT) projects with IoT with Raspberry Pi. This hands-on 2-day course teaches you how to use the Raspberry Pi together with our IoTFlow platform (https://iot.tertiaryinfotech.com/) to connect sensors, control devices and stream data to the cloud. You will learn to set up a Raspberry Pi, read from sensors, control actuators, and visualise and act on your data through IoTFlow.

Through practical projects, participants will wire up sensors and actuators, program the Raspberry Pi, publish and subscribe to data with IoTFlow, build dashboards, and create automations that respond to real-world events. By the end of the course, you will be able to design, build and deploy connected IoT solutions with the Raspberry Pi and the IoTFlow platform.

Course Fee

$700.00 (GST-exclusive)
$763.00 (GST-inclusive)

Course Date

Course Time

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Additional Note

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

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.

Cancellation & Reschedule Policy

  • 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

Course Details

What You'll Learn

Topic 1 Getting Started with Raspberry Pi and IoTFlow

  • Introduction to IoT and the Raspberry Pi
  • Setting Up the Raspberry Pi
  • Introduction to the IoTFlow Platform (https://iot.tertiaryinfotech.com/)
  • Connecting the Raspberry Pi to IoTFlow

Topic 2 Reading Sensors and Controlling Devices

  • Wiring and Reading Sensors
  • Controlling Actuators and Outputs
  • Working with GPIO
  • Publishing Sensor Data to IoTFlow

Topic 3 Building IoT Dashboards and Automations with IoTFlow

  • Visualising Data on IoTFlow Dashboards
  • Setting Up Alerts and Notifications
  • Creating Automations and Rules
  • Remote Monitoring and Control

Topic 4 Building and Deploying an IoT Project

  • Designing an End-to-End IoT Project
  • Connecting Multiple Devices
  • Securing Your IoT Solution
  • Deploying and Scaling with IoTFlow

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:

Hardware: Windows and Mac Laptops

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

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.

Review

Customer Reviews (162)

Will Recommnd Review by Course Participant/Trainee
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
To keep the class size smaller because of space constraint to hold the raspberry pi class. (Posted on 2/19/2017)
Will recommend Review by Course Participant/Trainee
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
Could include real life example in using the board (Posted on 1/18/2017)
Will Recommnd Review by Course Participant/Trainee
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
maybe need a Q&A session (Posted on 1/17/2017)
Will Recommnd Review by Course Participant/Trainee
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
Course was very informative. Wished it could have been longer (Posted on 11/21/2016)
Will Recommnd Review by Course Participant/Trainee
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
Provide Raspberry Pi basic information before class so the topic can be covered more quickly during the course, leaving more time for more hands-on projects. (Posted on 11/21/2016)

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