| Module 5:


    Internet of Things (IoT)

What is Internet of Things (IoT)?

The Internet of Things (IoT) refers to the network of physical objects that are embedded with sensors, software, and connectivity, allowing them to collect and exchange data with other devices and systems over the internet. IoT devices can range from simple sensors that measure temperature and humidity, to more complex devices like smartphones and industrial machinery. 

From a training provider's point of view, an IoT training would typically focus on teaching individuals the concepts and technologies that are used to build and implement lot systems. This would include the different types of loT devices and sensors, the communication protocols used to connect devices to the internet, and the platforms and services that are used to manage and analyze data from IoT devices.

Course Structure.


This component covers the fundamental concepts and principles related to the course subject through lectures and discussions.


This segment involves hands-on activities and real-world applications to reinforce the theoretical knowledge gained.


This assessment evaluates the student's understanding and mastery of both theoretical and practical aspects of the course.

Our Trainers.


Mr. Imran Bin Ishkandar, 

Software Engineer

Mr. Imran Bin Ishkandar graduated with a Bachelor’s Degree in Computer Science (Computer Systems) from University Putra Malaysia in 2021 and had participated in a student exchange programmed in the Faculty of Computer Science & Mathematics at Regensburg University of Applied Sciences in Bavaria, Germany, for 6 months in 2020.

Mr. Imran had worked as an IT contract staff in several government organisations in Malaysia, such as the Ministry of Science, Technology, and Innovation (MOSTI) and the Prime Minister’s Office (PMO) main building in the Federal Territory of Putrajaya in 2021.

Currently, Mr. Imran is working as a software engineer at TechCapital MyRO, developing full-stack and Odoo enterprise resource planning applications aside from managing the IT department. He is also one of the professional trainers for Intelligent Smart Manufacturing Technology (iSmart) for the Internet of Things, cybersecurity, database management systems, and cloud computing courses.

Able to communicate in three (3) foreign languages, including English, German, and Arabic, Mr. Imran is enthusiastic on creating professional networks with technologists from the United States, Europe, Singapore, and the Middle East.   

Learning Outcome

1. Fundamentals

Understand and use popular Python libraries and frameworks for machine learning, such as NumPy, Pandas, Scikit-learn, TensorFlow, and Keras.

2. Devices and Sensors

Understand and use techniques for data preparation and pre-processing, such as feature extraction normalization, and dimensionality reduction.

3. Type of Communication

Understand and use different types of communication technologies and protocols used in loT, such as Zigbee, Bluetooth, LoRa, MQTT, COAP and HTTP.

4. Edge and Fog Computing

Understand and use the concept of edge computing and fog computing to process and analyze data in loT environment.

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