Internet of Things (IoT) Network: Fundamental knowledge and Practical skills

Description

COURSE BRIEF
This course provides a comprehensive introduction to the fundamental concepts and practical working knowledge of Internet of Things (IoT) network principles, tools, techniques, and applications. It is specifically designed to address long-standing operational challenges in manufacturing and to enhance productivity, efficiency, and product quality.
Participants will gain a clear understanding of why IoT technologies are essential for modern manufacturing environments. The course covers the complete IoT system lifecycle, from network design to implementation, structured across the key architectural layers of an IoT solution. Topics begin with identifying measurable parameters of products and machines, followed by the selection of appropriate smart sensors and data acquisition devices. The course then progresses to IoT gateways, cloud-based service platforms, and the development of user applications for data visualization, monitoring, and operational feedback.
In addition, the course provides practical coverage of data communication protocols and the programming of both hardware and software components of the IoT Network. Emphasis is placed on hands-on learning to ensure participants can confidently design, build, and deploy functional IoT systems.
Participants will be provided with Raspberry Pi devices, a variety of sensors, breadboards, wiring components, and access to cloud computing platforms to support a range of practical Hands-on exercises.

NOTE: All participants are expected to have Basic laptop skills recommended. Participants should bring a laptop with admin rights (or provide a pre-configured USB/VM option).”
COURSE OUTCOMES AND OBJECTIVES
Upon successful completion of this short course, participants will be able to:
1. Understand the key enabling technologies of Industry 4.0 and their role in modern manufacturing and industrial environments.
2. Critically evaluate the current and future maturity of digital technology practices within an organisation.
3. Understand how IoT can address long-standing operational challenges while enhancing quality, productivity, and innovation.
4. Design and implement end-to-end IoT networks, including hardware, software, and communication protocols.
5. Gain practical, hands-on experience in selecting, programming, and integrating sensors, Raspberry Pi, IoT gateways, and cloud computing platforms.
6. Develop a strong understanding of building IoT applications using open-source software and tools.
7. Apply IoT and digital technologies to support digital transformation initiatives within their organisation.