IoT Application Development: Dashboard, Data Pipelines & OTA

Build production-ready IoT dashboards, cloud data pipelines, AWS IoT device management & OTA

This course is designed for working professionals, final-year students, and embedded developers who want to move beyond IoT basics and start building real-world, production-ready IoT applications.

In IoT Application Development, you will learn how modern IoT systems are built end-to-end — from connected devices to cloud platforms, real-time dashboards, scalable data pipelines, and secure device management with OTA updates. The course focuses on practical architecture, hands-on workflows, and industry-relevant use cases used in smart home, industrial IoT, and enterprise systems.

You will start by building IoT web dashboards that display live sensor data using REST APIs and MQTT over WebSockets, and implement command-and-control workflows to manage devices in real time. You will design a complete smart-home style dashboard while understanding the IoT application layer, a critical but often ignored part of IoT systems.

Next, you will dive into IoT data processing and storage, learning how real-time and batch data pipelines work at scale. You’ll explore stream processing, data lakes, data warehouses, Apache Spark, and cloud-native architectures commonly used to handle high-volume IoT data.

The course then covers IoT device lifecycle management, including secure device provisioning, monitoring, remote control, device shadows, and Over-the-Air (OTA) firmware updates. You will understand how cloud IoT platforms manage thousands of devices reliably and securely.

Finally, you will work with IoT analytics and visualization, building dashboards using Grafana, analyzing sensor data, detecting anomalies, and understanding how AI and machine learning concepts are applied in modern IoT systems.

By the end of this course, you will be able to design, build, deploy, and manage complete IoT applications used in real-world production environments.