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 could have a practical use of what we have learned in the course we could do it at home. Furthermore, the centre could facilitate a community of people who are interested in using raspberry Pi. (Posted on 3/16/2021)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 - Thanks and this training is very good. Review by Course Participant/Trainee
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Thanks and this training is very good. (Posted on 3/16/2021)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 recommend Review by Course Participant/Trainee
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(1) Time management - we rushed through practical quite a bit in the afternoon.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) Structure - as the class is advertised as complete beginner, no prior programming knowledge assumed, I felt that the content structure could have done a better job at providing a sort of idiot's guide / overview to big concepts.
Administration - some time could have been saved if the school had taken the trouble to inform students to bring adapters for LAN, HDMI, SD card, USB ports along with our laptops. We had also been issued incorrect SD cards, causing some time in the swap. In addition, in most classes I attend, the admin staff take up the responsibility of attendance sign in. In this class, the admin would constantly interrupt the lecturer after he has begun class and tell the lecturer to ensure the class take attendance on SkillsFuture. In addition, as a private candidate using no grants, I could not understand why I was repeatedly asked to take my attendance on SkillsFuture, neither could the admin staff explain it to me. (Posted on 3/16/2021) - will recommend Review by Course Participant/Trainee
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. (Posted on 1/3/2021)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 12/2/2020)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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