As far as I understand you are interested in Bioinformatics domain, which makes use of AI and image processing algorithms for the extraction and interpretation of biological data. Taking into consideration that you will definitely have to take advantage or modify existing datasets and implementations, then you must have at least an adequate understanding of the underlying software programs and its programming/statistical languages.

However, this does not mean that you have to master all kind of languages. Make a literature search to find the best fitting dataset or programs for your work and just stick to them. Doing so, you narrow down the possibilities to deal with many languages at the same time, which is especially usesul and time-saving if you are novice in computer science programming.

Whether you are into bioinformatics, scripting( modifying ) data collection programs or just  a user interface keyboarder....knowing one language well, that is you actually wrote some applications that automate something for you ( and not just took a programming class), is a great asset. Many science "free" programs you download  from the web have bugs and problems, thus I often found it easier to solve a bug or problem by  "knowing how a programmer thinks ( how programming logic is written)" !

R and Matlab will probably be the most useful for you in terms of performing statistical analyses on a large range of data sets (with R probably being the more widely used of the two). R is free and there is a free equivalent of Matlab called Octave if you want to try it.

Other languages such as Python or (I hate to say it) Perl are very useful for writing code to modify formats of files and to parse data sets that are in formats other than tables (which is a sensible limit of what do with R). There is considerable value of at least being able to understand what other people have written in these languages if you intend to move more into the dry-lab side of things. 

If you know programming in perl and python already be a good start. Learning to work with mysql also be very helpful. Knowing how to use Linux-based systems is essential. You don´t need to master to learn these things, but if you want to work with artificial intelligence a master's degree is highly recommended.