|
via Udemy |
Go to Course: https://www.udemy.com/course/plc-to-aws-iot-and-aws-ec2-in-iiot/
Certainly! Here's a detailed review and recommendation for the Coursera course based on the provided information: --- **Course Review:** This comprehensive Coursera course is an excellent resource for anyone looking to integrate PLC projects with the cloud and delve into Industrial Internet of Things (IIoT). Whether you're a beginner or have some experience in automation and networking, this course offers step-by-step guidance on modern automation and cloud integration techniques. The course covers a wide array of practical skills, starting with setting up an MQTT broker on AWS EC2 and developing Node.js and Express-based web applications. It further expands into leveraging AWS IoT Core and Grafana to create intuitive dashboards, store data securely, and implement alarm systems based on setpoints. This makes it highly suited for industrial automation professionals aiming to enhance their monitoring and control capabilities. One of the strengths of this course is its in-depth explanation of the MQTT protocol—including payload handling, topics, QoS, keep-alive, last-will messages, wildcard topics, and secure communication. The course provides hands-on Python examples for building MQTT clients, which helps learners understand and apply these concepts practically. Additionally, the course dives into OPC standards such as OPC DA and OPC UA, including secure OPC UA communication with SSL/TLS. The use of Python for OPC UA clients and provided examples further facilitate a clear understanding of integrating OPC protocols with cloud services. For PLC programming, the course covers Siemens and Codesys platforms, along with HMI programming, enabling learners to develop comprehensive automation solutions. It also guides on enabling OPC UA servers and utilizing IIoT libraries with AWS IoT clients in Codesys—covering key features like certificates, client configuration, last-will messages, publishing/subscribing, device shadows, and JSON data handling. The course concludes with guidance on creating and managing databases in AWS, setting up rules, permissions, and understanding fundamental IIoT concepts. This end-to-end approach ensures learners acquire not only technical skills but also strategic insight into IoT architectures and cloud integration. --- **Pros:** - Practical, hands-on approach with ample code examples. - Covers a broad spectrum of technologies essential for IIoT projects. - Integrates cloud, MQTT, OPC UA, PLC, and HMI programming into a cohesive learning path. - Suitable for both beginners and experienced engineers looking to modernize their automation systems. **Cons:** - Might be challenging for absolute beginners without prior knowledge of networking or PLC programming. - The breadth of topics may require additional dedicated study for some complex areas like secure communication. --- **Recommendation:** Overall, I highly recommend this course for automation engineers, IoT developers, and industrial technologists who want to modernize their PLC projects by integrating cloud solutions. It is particularly valuable for those interested in deploying secure, scalable IIoT solutions using AWS and leveraging protocols like MQTT and OPC UA. The practical examples and comprehensive coverage make it an excellent investment for advancing your skills in industrial automation and IIoT. --- **Final Note:** Ensure you have a basic understanding of PLC programming, networking, and cloud concepts before starting, as some topics are advanced. Pairing this course with hands-on experimentation will maximize your learning outcome. --- If you'd like, I can help craft a shorter summary or a promotional blurb for sharing this review!
If you want to quickly bring your PLC projects to cloud, you can see this course You can Setup MQTT broker on AWS EC2, setup Nodejs server and Express framework for Web Application. You can leverage AWS IoT core and Grafana resource to easy creating dashboard, save data to database and alarm message to user when data over the setpoint value. You will understand MQTT protocol such as Payload, Topic, QoS, Keepalive, last-will, wildcard, secure communication, authentication.MQTT clients created by python Code, I have examples for every part. You will understand OPC standard such as OPC DA, OPC UA, secure communication in OPC UA with SSL/TSL. I use Python for OPC UA Client and have examples for every part. You know the way how to do PLC programming with Siemens, Codesys PLC You know the way how to do HMI programming with Siemens, Codesys HMI You will know how to enable OPC UA server You will know how to use IIOT library with AWS IOT client in CodeSys such as certificate, client, last-will, publish, subscribe, device shadow, Json with publish and subscribe. With AWS, you can create database to save data, how you can create rule, set the permission for rules.Know some main concepts of Industrial internet of thing