**4. Conclusion**

In this chapter, a hands-on educational approach to teach Industrial Internet of Things (IIoT) was proposed. Because the set of required skills is large, we propose to focus on a basic sub-set of skills and content, trying to achieve the best possible quality and depth of learning. To overcome the complexity of real world IIoT projects, we propose to identify simpler sub-problems, which can be solved within the allocated time, using available tools. To illustrate our approach, specific examples, in terms of learning outcomes, methodology, assessment and feedback were presented. Wherever possible, link to solutions was provided for interested readers to test and adapt them for their own projects. The feedback received from students and their final performance is encouraging, as they seem to appreciate the proposed approach. We believe the same can be extended to teach similar courses like Digital Computer Networks, SCADA systems, Programmable Logic Controllers, etc. Currently, authors are planning to scale up this course, as an international MOOC, to reach a broader audience.
