Yes, given what you said above, I'm guessing the course would be a good fit for you (introduce you to the profession, solve some real worldish problems, etc.).
I do like my job. It gives me the chance to solve interesting problems and work with smart people. I work in health insurance, so the last several years have been very dynamic (Obamacare, covid, etc.). I also like the stability of an office job.
If I were talking to a freshman in college, I would recommend majoring in either math/stats, business, or computer science and then taking a couple courses in the other two departments. Actuarial is not far from the intersection of those areas.
Given that you're in grad school, I would recommend taking the course discussed in this thread and then perhaps the mathematical modeling course. To be honest, you wouldn't really use high level math/stats on the job. So I would probably just take whatever other courses interest you or might open up other opportunities. Not sure how much flexibility you have with your schedule or what you've already taken, but you might try to take a probability course and then take the probability exam shortly after the course while the material is still fresh.
The actuaries who are really successful are the ones who also have communication and leadership abilities. I only have experience in the insurance world, but it's my impression that this is true in most/all quantitative fields (engineering, CS, etc.). All actuaries have an aptitude for math, but the ones who can clearly, concisely explain the results to a non-technical audience or lead a team to solve a complex problem are the ones who become directors and VPs. So if you want to become a successful actuary, I would focus more on cultivating those kinds of skills than which particular stats classes you take.
Hope this helps. Let me know if you want to discuss more.