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.
Course Details
Course Details
What You'll Learn
Topic 1: Overview of Internet of Things (IoT)
What is IoT?
Sensors and Actuators for IoT
Wireless Communication Technologies for IoT
IoT Applications and Use Cases
Topic 2: Collect and Post Environmental Data to Cloud
What is Cloud Computing
Setup Cloud Computing Account
Collect Environmental Data with Sensors
Transmit Environmental Data using Raspberry Pi
Introduction of Node-Red on Raspberry Pi
Post Data to Cloud using Node-Red MQTT or REST API
Topic 3: IoT Data Analytics and Visualization
Analyze IoT Data on Cloud
Visualize IoT Data on Cloud
Topic 4: Monitor Data to Trigger Control from Cloud
Read Data using Node-Red MQTT or REST API
Trigger Control on Devices
IoT Security
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
Review
Customer Reviews (162)
- Will Recommend Review by Course Participant/Trainee
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The course was an wonderful introduction to the Raspberry Pi. Although the slides were a tad too simple to cater to the complete beginners, trainer Carey was passionate about the RPi and able to give alot of helpful tips and snippets about Python during the session. (Posted on 6/16/2019)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 6/16/2019)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 6/16/2019)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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Simpler and more comprehensive slides, soft copy of codes/inputs so you can copy and paste. (Posted on 6/16/2019)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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1)Extend to 2 days will be good.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
2)Best to include a basic Adruino as to let us learned the difference between Raspberry Pi and Adruino.
Trainer Ken Yuen always goes the extra mile to assist me when I encountered problems in the exercises regarding the hardware setup and coding.
Ken was very helpful and made the training very inspiring. (Posted on 6/12/2019)
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