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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Please conduct the course in a room with bigger tables as there is a lot of wiring work involved which requires space.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
Might be a good idea too to conduct separate classes for those with prior programming background and those without, so the class can progress at the right pace according to the individual programming skill level. (Posted on 9/5/2017) - Will Recommend Review by Course Participant/Trainee
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will be good to provide the trainees on documents/menus that contains structures of Raspberry Pi that users can further use as alias (Posted on 8/11/2017)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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Increase the duration to 11/2 days instead of 1 day (Posted on 8/7/2017)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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Make sure Training parts are available for training course. (camera module not available for the training . trainer can not show us how it work . i missed this part. ) (Posted on 7/23/2017)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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he place is a bit cramped but other than that everything else is fine (Posted on 7/3/2017)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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