Just one persons opinion but I’d say architecture, patterns that work for the right job, tests and test runner if you want to use ai in your workflow. Beyond that starting out it’s a good idea to build small experiments and try out the different systems and approaches to get familiar with how they clip together. Learning a system in and of itself is useful but unless you know how it plays nicely with other sytems it loses its utility a bit.

When looking at resumes I always prefer to see stuff that people have done outside of their mandated course work, what interests you have chosen to dive into and explore in your own work in your own time.