I'm glad to see someone posted this book. I think it's far undervalued. Definitely a must read. The Ruby written could be completely replaced by pseudo code, and it wouldn't change the lessons taught.
The challenge is going to be adoption, plain and simple. I worked two years on an Erlang project, and most of our frustration came from the lack of community to lean on when we needed help understanding best practices. Also, when you find only one library to solve your problem that has been abandoned for at least two years that is never fun.
Few projects actually need the level of scalability that Erlang brings, and the cost of building and running an Erlang project as an enterprise application is non-trivial. People need to understand this if they want Elixir to succeed where Erlang hasn't.
The key benefit of Erlang isn't the scalability in my experience. It is resilience. Once your system is deployed, it tend to run with 0 fatalities for months on end. We have systems where we've had 0 maintenance days on them for months and even years.
In turn, you can focus your development effort on new systems, new features, and scaling existing infrastructure since you are not bogged down in maintenance mode. Even better, you can often postpone errors in a system which are non-fatal. I often wait until I have a couple of bugs in a system and then I'll work on that system for a few days fixing them all. In systems where even the smallest amount of brittleness destroys them, this isn't really an option.
Another experience of mine is that Erlang systems tend to take a bit longer to write compared to cranking out a fast solution in another language. But the payoff is that your Erlang solution tend to have better robustness as load increases and people start using the system.
The community is small however, so you'll need to write more code yourself in-house as a result. For some problem spaces, this will hurt a lot because there are off-the-shelf solutions in other languages. On the other hand, larger projects which are more specialized can benefit from you knowing your own code better.
For anyone reading this, I worked in a shop where we built an Erlang system, choosing the language specifically for the high uptimes we needed. We nailed it so well that IT proactively reboots the system just because they don't trust that it's still working properly when it runs without issue for months on end. Done right, Erlang can be insanely resilient.
I'm not sure CS and programming go hand in hand anymore. I'm a college dropout that landed a job as a software developer at a good company, and everything that I use daily is self-taught knowledge. I can't remember a time when I used something I learned in CS for the past three years, and I made it to my senior year.
What I can recommend is to learn Github and git. Beyond that, it really depends on what you want to focus on.