This course offers this course on “Internet of Things (IoT)”. As IoT is a rapidly evolving technology paradigm that connects everyday objects to the internet, enabling th…
This course offers this course on “Internet of Things (IoT)”. As IoT is a rapidly evolving technology paradigm that connects everyday objects to the internet, enabling them to collect, exchange, and analyze data autonomously.
This course provides participants with a comprehensive understanding of IoT concepts, technologies, and applications. Participants will explore the fundamental principles of IoT architecture, communication protocols, sensor devices, data analytics, and security considerations. Through hands-on projects and case studies, participants will gain practical experience in designing, implementing, and managing IoT solutions across various domains.
Course Objectives
By the end of the course, participants will be able to:
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.
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
Schedule & Fees
2026 Schedule & Fees
There are no public sessions remaining for the course this year. Please contact us if you wish to have a customized in-house session, or to find out how an additional public session can be scheduled.