Sure, but we need to update our definitions of concepts/fundamentals. A lot of this stuff has its own established theory and has been a core primitive for software engineering for many years.

For example, the primitives of cloud computing are largely explained by papers published by Amazon, Google, and others in the early '00s (DynamoDB, Bigtable, etc.). If you want to explore massively parallel computation or container orchestration, etc, it would be natural to do that using a public cloud, although of course many of the platform-specific details are incidentals.

Part of the story here is that the scale of computing has expanded enormously. The DB class I took in grad school was missing lots of interesting puzzle pieces around replication, consistency, storage formats, etc. There was a heavy focus on relational algebra and normalization forms, which is just... far from a complete treatment of the necessary topics.

We need to extend our curricula beyond the theory that is require to execute binaries on individual desktops.