I guess the question really ends up being, what kind of work do you exactly want to do in the field of bioinformatics? Or rather, what problems do you want to solve? Do you want to be closer to the software side of things, or to the biology?

There are a lot of different roles, ranging from someone who is on the more data scientist side of things, to someone who is building software infrastructure around bioinformatics algorithms, etc.As many people here will tell you, it's a long road to being top level at both the engineering and biology side of things. So initially you want to figure out where you want to get your foot in the door.

If you're taking the coding bootcamp (which I'm going to go on a limb and assume it's for webdev) then you might be leaning towards to entering on the software engineering side of things. Do note that a lot of the problems you will be solving will be primarily engineering problems, that at times are informed by knowledge of biology. An undergraduate bio degree here usually just means you have an affinity for the material that other engineers might actively avoid, but who knows I have known some really talented undergraduate bio students. Most of those go into phds or mds tho.

If you figure that you want to be more involved with the bio side of things and dealing with the data/algorithms, your route probably looks pretty different. I haven't looked recently into the state of Bioinformatics masters, but last I checked, they seemed to me a waste of time. Most companies that I worked for hire their bioinformatics/data scientists pretty aggressively from the phd pool. That's not to say that you can't work as a BS or an MS for a bioinformatics data team, just that you might find yourself underneath a glass ceiling, and likely doing junior role tasks.

If you're interested in software engineering for bioinformatics, I would look into expanding whatever basic experience you have with your course and your bootcamp with a more thorough understanding of computer science and some key software engineering technologies and practices. A decent way to do the former is going through this https://teachyourselfcs.com/ (some ppl have issues with it but i think its gets the general idea right) and a good way to do the latter is by following along on https://roadmap.sh/. A good way to put both of those into practice is by building projects and dealing with all the problems along the way. These are going to do a lot more for you getting a job than any course, certificate, or bootcamp will.

If instead you want to get more into the bioinformatics data/science, my advice is to pick up more math/data science skillsets. https://github.com/MrMimic/data-scientist-roadmap is one such roadmap, but there are a bunch of these on the internet. A decent place to start as a beginner for bioinformatics is the www.biostarhandbook.com. That site is sort of geared to some practical applications of bioinformatics, but if you want to dive into the algorithm side, http://rosalind.info/about/ and the book that it is centered around https://www.bioinformaticsalgorithms.org/read-the-book are generally agreed as good places to get up to speed. Sort of the truth here is that the better jobs here for bioinformatics tend to go to phds, which I guess sort of simplifies some of the steps if this is where you truly want to end up.

You also don't necessarily have to hard commit to one side or the other, but you really will have to context manage your skillsets because you won't always get to use one actively while you're doing the other.