Enroll Course: https://www.udemy.com/course/plc-to-aws-iot-and-aws-ec2-in-iiot/
Are you looking to elevate your industrial automation projects by integrating PLCs with the cloud? The course ‘PLC and Python to AWS Cloud in IIoT with Siemens and CoDeSys’ on Udemy is an exceptional resource that guides you through the entire process of bringing your PLC projects into the cloud environment. From setting up MQTT brokers on AWS EC2 to creating web applications with Node.js and Express, this course covers all the essential steps.
One of the standout features of this course is its in-depth explanation of MQTT protocols, including payload, topics, QoS, Keepalive, last-will, and secure communication methods like SSL/TLS. Practical Python code examples for MQTT clients make it easy to grasp these concepts. Additionally, the course dives into OPC standards such as OPC DA and OPC UA, emphasizing secure communication channels.
For automation professionals, there’s extensive coverage on PLC programming with Siemens and CoDeSys, along with HMI programming. The course also demonstrates how to enable OPC UA servers and leverage IIoT libraries within CoDeSys for AWS IoT client functionalities like certificates, device shadows, and messaging with JSON.
Furthermore, it explores how to create and manage AWS resources—setting up databases, creating rules, and configuring permissions—to help you build a seamless data flow from your industrial devices to the cloud dashboard. The integration of Grafana for data visualization and alarm notifications makes this course a comprehensive package for anyone wanting to embrace Industry 4.0.
Whether you are an industrial automation engineer, IoT developer, or a student, this course provides practical, hands-on knowledge with real-world examples. I highly recommend it for anyone eager to understand and implement cloud-connected PLC systems in the IIoT landscape.
Enroll Course: https://www.udemy.com/course/plc-to-aws-iot-and-aws-ec2-in-iiot/