About this Event
The offers the as part of its , designed to help professionals understand and apply the technologies connecting physical devices to the internet. This programme explores how smart devices collect, exchange, and analyse data to improve automation, operational efficiency, and decision-making across modern industries.
The Internet of Things Training Program provides participants with a structured understanding of IoT architecture, sensor technologies, communication protocols, cloud platforms, data analytics, and cybersecurity considerations. It examines how connected devices interact within digital environments and how organisations use IoT solutions to monitor assets, optimise processes, and develop intelligent systems. Participants also explore practical applications across manufacturing, healthcare, logistics, smart homes, and industrial automation.
Through technical discussions, practical exercises, and relevant case studies, participants develop insights into designing, implementing, and managing IoT solutions. The programme highlights device connectivity, data collection, system integration, network management, and security measures required for reliable IoT operations. It also addresses common implementation challenges, including interoperability, data privacy, scalability, and system performance.
This training programme is suitable for IT professionals, software developers, network engineers, systems administrators, and technical specialists seeking to strengthen their knowledge of connected technologies. By completing the programme, participants enhance their ability to evaluate IoT applications, understand emerging technology trends, and contribute to digital transformation initiatives. The British Academy for Training and Development supports professional development through this programme, helping participants build the technical understanding required to apply Internet of Things technologies effectively in modern business and industrial environments.
Objectives and target group
Who Should Attend?
- IT professionals interested in IoT technologies
- Engineers and developers working on IoT projects
- Entrepreneurs and business leaders exploring IoT opportunities
- Students pursuing degrees in computer science, engineering, or related fields
- Anyone interested in learning about the Internet of Things
Knowledge and Benefits:
After completing the program, participants will be able to master the following:
- Understand the fundamental concepts and principles of the Internet of Things (IoT).
- Gain knowledge of IoT architectures, components, and communication protocols.
- Learn about sensor devices, data acquisition, and connectivity technologies used in IoT.
- Explore IoT applications across various industries, such as healthcare, agriculture, smart cities, and manufacturing.
- Develop hands-on skills in designing, implementing, and managing IoT solutions.
- Understand the challenges and security considerations in IoT deployments.
Course Content
- Introduction to IoT Concepts and Ecosystems
- Definition and scope of the Internet of Things
- Historical evolution and future trajectory of IoT
- Ecosystem components: devices, connectivity, platforms
- Architectural Framework of IoT Systems
- Overview of IoT system layers: perception, network, and application
- Communication models and protocols used in IoT
- Device and gateway interactions within an architecture
- Sensors, Actuators, and Data Collection
- Role of sensors in monitoring physical environments
- Types of sensors and their applications
- Data acquisition and analog-to-digital conversion processes
- Network and Communication Technologies
- Comparison of IoT communication protocols (MQTT, CoAP, etc.)
- Use of LPWAN, 5G, and Wi-Fi in IoT
- Factors affecting network choice: range, bandwidth, energy
- IoT Platforms and Cloud Integration
- Overview of IoT platforms (AWS IoT, Azure IoT Hub, etc.)
- Data flow from edge to cloud and real-time processing
- Interoperability across platforms and vendor ecosystems
- Data Analytics and Processing in IoT
- Role of big data and analytics in IoT applications
- Real-time vs batch data processing techniques
- Use of machine learning for predictive analysis
- IoT Security and Privacy Considerations
- Common security threats in IoT environments
- Authentication, encryption, and secure boot mechanisms
- Privacy regulations and data protection practices
- Standards and Protocols in IoT Systems
- Importance of standardization in device interoperability
- Key industry standards (IEEE, IETF, ITU)
- Role of open-source protocols in IoT development
- Industrial and Enterprise IoT Applications
- Use cases in manufacturing, logistics, and smart grids
- Industrial IoT (IIoT) and integration with existing systems
- Challenges in large-scale deployment and control
- Smart Cities and Future Trends in IoT
- Role of IoT in urban infrastructure and public services
- Integration of AI, blockchain, and edge computing with IoT
- Emerging trends shaping the next generation of IoT
Event venue & nearby stays
British Academy, 133 Kilburn Lane, London, United Kingdom
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