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.

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Certification

  • Certificate of Completion from Tertiary Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.

Raspberry Pi Essential Training Mastering the Basics and Beyond

Course Code: C203

What's This Course About

Unlock the power of Raspberry Pi and dive into the world of the Internet of Things (IoT). This essential training covers everything from IoT fundamentals to cloud computing, wireless communication technologies, and real-world applications. Learn to collect environmental data using sensors, transmit it to the cloud, and analyze insights using data visualization techniques. Through hands-on projects, you will explore Node-Red, MQTT, and REST API for seamless cloud integration.

This course also emphasizes IoT security and automation, enabling you to monitor and control devices remotely. Whether you are an enthusiast, engineer, or IT professional, this training provides the skills needed to develop and deploy IoT applications. Gain practical experience in working with IoT data, trigger control mechanisms, and implement security best practices to create smart and efficient systems.

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 - Mastering Raspberry Pi: Hands-On Practical Applications 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 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

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 (162)

Will Recommend Review by Course Participant/Trainee
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Nil (Posted on 4/21/2018)
Will Recommend Review by Course Participant/Trainee
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Can ask what the participants want to achieve so the workshop can include relevant activities (Posted on 4/21/2018)
Will Recommend Review by Course Participant/Trainee
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Refreshment provided too light (Posted on 4/21/2018)
Might Recommend Review by Course Participant/Trainee
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more detailed (Posted on 4/21/2018)
Will Recommend Review by Course Participant/Trainee
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3. How do you find the training environment
So far so good (Posted on 4/21/2018)

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