Enroll Course: https://www.udemy.com/course/plc-to-aws-iot-and-aws-ec2-in-iiot/
In the rapidly evolving landscape of Industrial Internet of Things (IIoT), bridging the gap between physical industrial equipment and cloud platforms is paramount. If you’re looking to swiftly connect your PLC projects to the cloud, 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 integrating Programmable Logic Controllers (PLCs) with the power of AWS cloud services. It kicks off by guiding you through setting up an MQTT broker on AWS EC2, a fundamental step for enabling communication in IIoT environments. You’ll then learn to establish a Node.js server with the Express framework, laying the groundwork for robust web applications.
The real magic happens as the course leverages AWS IoT Core and Grafana. This allows for the effortless creation of interactive dashboards, efficient data storage in databases, and the implementation of crucial alarm systems that notify users when data exceeds predefined setpoints. The course provides a thorough understanding of the MQTT protocol, covering essential concepts like Payload, Topic, QoS, Keepalive, Last Will, wildcards, and secure communication methods including authentication.
Python enthusiasts will rejoice at the inclusion of Python MQTT client examples, with practical demonstrations for every concept covered. Furthermore, the course dives deep into the OPC standard, explaining OPC DA and OPC UA, and importantly, how to secure OPC UA communication using SSL/TLS. You’ll get hands-on experience with a Python OPC UA client, complete with illustrative examples.
For those involved in PLC programming, the course offers insights into programming with Siemens and CoDeSys PLCs, as well as HMI programming with their respective environments. A key takeaway is learning how to enable the OPC UA server on these platforms.
The integration with AWS IoT is meticulously explained, focusing on how to use IIoT libraries with the AWS IoT client in CoDeSys. This includes practical aspects like managing certificates, clients, Last Will configurations, and effectively using publish/subscribe mechanisms, device shadows, and JSON payloads.
On the AWS side, you’ll learn how to set up databases for data storage, create rules for data processing, and configure permissions for these rules. The course also touches upon the main concepts of the Industrial Internet of Things, providing a solid foundational understanding.
**Recommendation:**
This course is highly recommended for engineers, technicians, and developers looking to modernize their industrial automation systems. Its practical approach, coupled with clear explanations and code examples, makes complex topics accessible. Whether you’re new to IIoT or looking to enhance your existing skills, this course provides the knowledge and tools to connect your PLCs to the cloud securely and efficiently. It’s an investment that will undoubtedly pay dividends in terms of operational efficiency and data-driven insights.
Enroll Course: https://www.udemy.com/course/plc-to-aws-iot-and-aws-ec2-in-iiot/