Smart Industrial Automation with IoT and Edge Computing
Build intelligent industrial systems using IoT, edge devices, and real-time monitoring techniques.
This course is designed to bridge the gap between traditional industrial automation and modern IoT-driven smart factories. Learners will explore how sensors, controllers, and machines can be connected to edge devices for real-time data processing and decision-making. The course covers industrial sensors, edge controllers, data acquisition, local analytics, and cloud synchronization. By the end of this program, students will be able to design reliable, scalable, and secure smart industrial systems suitable for Industry 4.0 environments.
Prerequisites
What you need to know before starting this course
Learning Objectives
What you'll achieve by the end of this course
Course Structure
Each module focuses on specific categories of sensors, actuators, or communication protocols
Industrial Sensors & Actuators
Working with industrial-grade input and output devices.
Edge Controllers
Using PLCs, ESP32, and edge gateways.
Course Modules
Module 1: Industrial IoT Fundamentals
1 WeekUnderstanding Industry 4.0 and IIoT system design.
- Introduction to Industrial IoT
Course Projects
Hands-on projects that integrate multiple sensors and actuators
Smart Machine Monitoring System
Monitor machine parameters and visualize performance in real time.
Assessment Methods
How your progress will be evaluated
Required Materials
Hardware and tools needed for the course
Hardware Components
Tools & Equipment
One-time payment • Lifetime access