Enroll Course: https://www.udemy.com/course/plc-to-aws-iot-and-aws-ec2-in-iiot/
In the rapidly evolving world of the Industrial Internet of Things (IIoT), bridging the gap between physical industrial processes and the power of cloud computing is paramount. For anyone looking to seamlessly integrate their PLC projects with cloud platforms, the “PLC and Python to AWS cloud in IIoT with Siemens and CoDeSys” course on Udemy is an absolute game-changer.
This comprehensive course demystifies the process of bringing your industrial data to the cloud, offering practical, hands-on experience. You’ll start by setting up an MQTT broker on AWS EC2, a fundamental step for reliable data communication. The course then guides you through creating a Node.js server with the Express framework to build robust web applications. The real magic happens as you leverage AWS IoT Core and Grafana to create insightful dashboards, store data efficiently in databases, and implement real-time alarm systems that notify users when critical setpoints are breached.
A significant portion of the course is dedicated to a thorough understanding of the MQTT protocol. You’ll gain expertise in key concepts like Payload, Topic, QoS, Keepalive, Last-Will, and wildcards, along with secure communication and authentication methods. The course provides practical Python code examples for MQTT clients, ensuring you can implement these concepts directly.
Furthermore, the course delves into the OPC standard, covering OPC DA and OPC UA, including secure communication via SSL/TLS for OPC UA. Python is once again the tool of choice for building OPC UA clients, with clear examples provided for each aspect.
For those involved in PLC programming, the course offers valuable insights into programming with Siemens and CoDeSys PLCs, as well as HMI programming for both platforms. You’ll learn how to enable OPC UA servers on these devices, making them ready for cloud integration.
The practical application of IIoT libraries with AWS IoT clients in CoDeSys is a standout feature. You’ll master concepts like certificates, client management, last-will messages, publishing and subscribing data, device shadows, and handling JSON payloads for publishing and subscribing.
On the AWS side, the course equips you with the knowledge to create databases for data storage, configure rules, and manage permissions effectively. Crucially, you’ll gain a solid understanding of the main concepts of the Industrial Internet of Things, providing a foundational understanding for future IIoT endeavors.
**Recommendation:**
If you’re an engineer, technician, or developer looking to modernize your industrial automation systems and harness the power of cloud analytics and control, this course is highly recommended. The instructor’s clear explanations and abundant practical examples make complex topics accessible. It’s an investment that will undoubtedly accelerate your IIoT journey and unlock new possibilities for data-driven decision-making in industrial environments.
Enroll Course: https://www.udemy.com/course/plc-to-aws-iot-and-aws-ec2-in-iiot/