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Raspberry Pi Internet of Things IoT Training with Node-Red

Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Beginner to Intermediate
  • 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.

Basic Raspberry Pi and Node-RED Training

Course Code: C467

26 Review(s) | Add Your Review

What's This Course About

Step into the evolving realm of the Internet of Things (IoT) by harnessing the power of the Raspberry Pi coupled with the versatile Node-RED platform. This course offers a holistic overview of IoT, enabling participants to understand its core concepts, nuances, and the massive potential it holds in the digital era. With a keen focus on practical implementation, we guide you through the process of uploading data to ThingSpeak Cloud Computing, a pivotal component in modern IoT ecosystems.

Further delving into the world of cloud-based data analytics and visualization, the training provides hands-on experience in deriving meaningful insights from vast data streams. Moreover, with the integration of MQTT, participants will adeptly read data from ThingSpeak, ensuring a robust grasp over real-time data handling. By the end of this comprehensive course, you'll be well-equipped with the knowledge and skills to design and manage Raspberry Pi-driven IoT projects with precision and efficiency.

Note that the Raspberry kit is used for the training. The course fee does not include the kit.

Funding Options

No funding is available for this course

For WSQ funding, please checkout the details at  WSQ - Internet of Things (IoT) Management with Raspberry Pi

Course Fee

$350.00 (GST-exclusive)
$381.50 (GST-inclusive)

Course Date

* Required Fields

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 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

Course Info

SSG Training Grant

SSG TG is $15 per pax. Net fee after SSG TG is $303.86. Absentee Payroll is not eligible.

Prerequisite

This is a intermediate course. The following knowledge is assumed

  • Basic programming
  • Basic electronics
  • Basic Raspberry Pi

Software Requirement

Please install the following software prior to the class

Job Roles

Job Roles

  • IoT Product Manager
  • Innovation Manager
  • IoT Solutions Architect
  • Smart City Planner
  • R&D Specialist
  • Business Strategist
  • Digital Transformation Lead
  • Manufacturing Process Manager
  • IoT Data Analyst
  • Connected Devices Engineer
  • Operations Manager (IoT-focused)
  • Smart Grid Specialist
  • Home Automation Developer
  • Supply Chain Innovation Manager
  • Industrial Automation Strategist

Trainers

Trainers

Richard Wan

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.

Review

Customer Reviews (26)

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
. (Posted on 12/24/2019)
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
Raspberry PI image should be pre loaded with examples.

Since 1 day crash course, more important to demonstrate what Node Red can do rather than hands on. Instructor has achieved this.

Instructor's Node Red examples are excellent, however need to receive via email, so go back still to wait to receive and famaliarise with import... Hopefully same examples (Posted on 5/20/2019)
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
. (Posted on 5/20/2019)
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
. (Posted on 4/22/2019)
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
Ask to bring along keyboard and mouse (Posted on 4/22/2019)

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