INTERNET OF THINGS (IOT) WITH AI DATA ANALYTICS & OPTIMIZATION
14 - 15 OCTOBER 2026
4 CDP Approved by ST
COURSE INTRODUCTION
This programme introduces how connected devices, sensors and industrial data can be combined with AI-supported analytics to improve visibility and decision-making. Participants explore IoT architecture, data collection, connectivity, analytics and optimisation concepts, with emphasis on practical opportunities for monitoring and improving real operational processes. Practical examples and guided discussion help participants connect the subject to decisions and challenges in their own workplace.
COURSE OBJECTIVES
By the end of this programme, participants should be able to:
- Explain IoT and IIoT architecture, components and data flows.
- Select sensors, embedded devices and communication protocols for connected applications.
- Configure Raspberry Pi interfaces and basic device-to-platform connectivity.
- Organise and analyse sensor data for operational insight.
- Apply AI-supported analytics to detect patterns and optimise decisions.
- Evaluate security, testing and compliance considerations for practical IoT deployments.
WHO SHOULD ATTEND
This programme is suitable for software developers, solution and technical architects, process engineers, data analysts, students, managers and professionals who want to apply IoT, connected-device data and AI-supported analytics.
COURSE CONTENT
- Architecture of the Internet of Things
- IoT components, devices, hardware and software requirements
- IoT embedded systems, microcontrollers and sensors
- Raspberry Pi interfaces and IoT communication protocols
- Big Data, data management and Data Analytics
- Programming, security, testing and compliance for IoT systems
- AI deployment on sensor data for analytics and optimization
- Practical IoT applications for smart factories, energy and smart homes
