Thanks for bringing up this great initiative. LG will support on the simulation side.
I have some experiences of taking courses like Udacity, etc. in the areas of Self-Driving cars and Robotics. But the ease of use of development environment is the key to the students and success of the course, I think. And there are many things to be figured out if we consider the commercial cloud-based platform such as RoboMaker, theConstructSim, etc, not just of the cost of using their resources, but also all the technical issues such as loading time and latency, sharing the contents, etc. If we consider a relative simple robotics applications, then their platform might be OK, but Autonomous Driving needs high fidelity environments (3D map, HD Map, Vehicle, traffics, etc.) for perception and planning and others as well as performance sufficient enough to guarantee the correct execution of AD systems.
So, I think running a simulator in local machine (user’s machine) would be much feasible, while the contents (maps, vehicles, test scenarios, etc.) are shared or provided by the cloud.
We are working on this right now, and wiling to provide the simulation environment including sample maps, vehicles, and test scenarios, etc.