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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 recommend Review by Course Participant/Trainee
-
. (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 - will recommend Review by Course Participant/Trainee
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We need a faster WiFi connection for upgrading the software1. 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
Would be advisable if the setup can be prepared before hand (Posted on 12/26/2022) - Instructor (Ferris) is knowledgeable. The course is well conducted with the hands-on. Review by Course Participant/Trainee
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- Ensure that the hardware (e.g. Loan set) is configured before the course. Quite a bit of time we're wasted to set up the system as the SD card isn't working for some students1. 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 admin is sent to students early. I wasn't informed of the course materials until I enquired the staff during the course itself. As this course needed the laptop at times, I didn't manage to bring it as I don't have the instructions beforehand
Instructor (Ferris) is knowledgeable. The course is well conducted with the hands-on. Most of the hiccups were on the pre-course admin, rather than the actual course itself (Posted on 12/26/2022) - will recommend Review by Course Participant/Trainee
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I'll join another course (Posted on 12/5/2022)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 - wil recommend Review by Course Participant/Trainee
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. (Posted on 10/24/2022)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
Write Your Own Review
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