Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner
  • 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.

Download Course Brochure

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.

Getting Started with IoT Hands-On Training for Beginners

Course Code: C852

What's This Course About

This hands-on IoT training is designed for beginners who want to understand the fundamentals of the Internet of Things. The course covers IoT concepts, sensors, actuators, and wireless communication technologies. Participants will learn how to collect real-time data using sensors, transmit it through ESP8266, and store it in the cloud using MQTT or REST API. The training includes practical exercises to ensure a solid grasp of IoT data collection and cloud integration.

In addition, learners will explore how to retrieve data from the cloud, control remote devices, and analyze IoT data for actionable insights. The course also introduces IoT security best practices to protect connected devices. By the end of this training, participants will have hands-on experience in developing IoT applications and visualizing IoT data, preparing them for real-world IoT implementation.

Note that the IoT 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) Fundamental for Beginners

Course Fee

$700.00 (GST-exclusive)
$763.00 (GST-inclusive)

Course Date

Course Time

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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 Data to Cloud

Cloud Computing for IoT

Setup Cloud Computing Account

Collect Data with Sensors

Transmit Data using ESP8266

Post Data to Cloud using MQTT or REST API

Topic 3 Read Data and Remote Control Devices from Cloud

• Read Data using MQTT or REST API

• Remote Control Devices from Cloud

Topic 4 IoT Data Analytics and Visualization

Analyze IoT Data on Cloud

Visualize IoT Data on Cloud

IoT Security

Course Info

Prerequisite

This course assumes the following:

  • Basic Arduino
  • Basic C++

Software Requirement

Job Roles

Job Roles

  • IoT Developer
  • Embedded Systems Engineer
  • IoT Solutions Architect
  • IoT Security Analyst
  • Cloud Engineer for IoT
  • Wireless Communication Engineer
  • IoT Data Analyst
  • IoT Systems Integrator
  • Automation Engineer
  • Smart Devices Engineer
  • IoT Product Manager
  • Cloud Computing Specialist
  • IoT Researcher
  • Data Visualization Specialist
  • Network Engineer for IoT
  • IoT Consultant
  • Software Engineer (IoT)
  • IoT Application Developer
  • AI & Machine Learning Engineer for IoT
  • Remote Monitoring Engineer

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 (27)

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
Learnt so much, got me so much more interested in IOT after today (Posted on 1/17/2025)
will recommend Review by Course Participant/Trainee
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2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 4/17/2024)
will recommend Review by Course Participant/Trainee
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Too much knowledge . Need to digest (Posted on 1/11/2024)
will recommend Review by Course Participant/Trainee
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2. Do you find the trainer knowledgeable in this subject?
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Thank you (Posted on 7/26/2023)
will recommend Review by Course Participant/Trainee
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2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 7/26/2023)

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