Summary

In this chapter, you learned about the topologies that are common in building edge ML solutions and how they relate to the constraints and requirements informing architectural decisions. You learned about the common protocols used in exchanging messages throughout the edge and to the cloud, and why those protocols are used today. You learned how to evaluate an edge ML solution for security risks and the best practices for mitigating those risks. Additionally, you delivered your first multi-component edge solution that maps sensor readings to an actuator using a decoupled interface.

Now that you understand the basics of building for the edge, the next chapter will introduce how to build and deploy for the edge using cloud services and a remote deployment tool. In addition to this, you will deploy your first ML component using a precompiled model.