Description
The Implementation of IoT Solutions and Practical Approach course provides participants with the essential trigger, know-how, and hands-on experience to implement a LoRaWAN network on a small scale. This course blends theoretical foundations with practical applications, allowing participants to understand the core principles of LoRaWAN networks, their architecture, and key components. Through a combination of theoretical elements and real-world use cases, the course explores how LoRaWAN can be applied in various IoT scenarios, including smart cities, agriculture, and industrial monitoring. In a workshop format, participants will get hands-on experience with cutting-edge technologies, including The Things Network for LoRaWAN connectivity, Node-RED for visual programming and workflow automation, Python for scripting and data analysis, and InfluxDB for time-series data storage and visualization. By the end of the course, participants will have built a complete IoT use case, from sensor data collection and transmission to analysis and visualization. This practical approach will equip them with the skills to deploy and manage IoT solutions, optimizing data-driven decision-making and enhancing operational efficiency across various applications.
