Accelerating your master's using alt credit or PLA (Prior Learning Assessment or credit for experience) is pretty much unheard of. For a bachelor's, if alt credit is available, it is generally faster, easier and cheaper than the equivalent PLA process. You can follow the links in my signature to see my and other's experience with PLA at TESU, as an example. Other schools use a very similar process. I used a lot of PLA because, at the time I did it, there was very little alt credit available to fulfill the requirements of a BACS. Now that there is, I would not counsel anyone to take that route.
In your shoes, I would shop for my master's program first, then tailor my bachelor's plan to best prep for that. Unlike some of the other posters, I think you should probably plan on getting a BA Psych. I have two reasons for this. First, it doesn't seem like getting a generic BA is going to immediately change your career prospects. Second, it should also make your application a little more competitive. I think that outweighs a small amount of extra time spent getting the Psych BA vs a generic degree.
Besides, with your experience, the Psych material it likely to be fairly easy for you.
In your shoes, I would shop for my master's program first, then tailor my bachelor's plan to best prep for that. Unlike some of the other posters, I think you should probably plan on getting a BA Psych. I have two reasons for this. First, it doesn't seem like getting a generic BA is going to immediately change your career prospects. Second, it should also make your application a little more competitive. I think that outweighs a small amount of extra time spent getting the Psych BA vs a generic degree.
Besides, with your experience, the Psych material it likely to be fairly easy for you.
NanoDegree: Intro to Self-Driving Cars (2019)
Coursera: Stanford Machine Learning (2019)
TESU: BA in Comp Sci (2016)
TECEP:Env Ethics (2015); TESU PLA:Software Eng, Computer Arch, C++, Advanced C++, Data Struct (2015); TESU Courses:Capstone, Database Mngmnt Sys, Op Sys, Artificial Intel, Discrete Math, Intro to Portfolio Dev, Intro PLA (2014-16); DSST:Anthro, Pers Fin, Astronomy (2014); CLEP:Intro to Soc (2014); Saylor.org:Intro to Computers (2014); CC: 69 units (1980-88)
PLA Tips Thread - TESU: What is in a Portfolio?
Coursera: Stanford Machine Learning (2019)
TESU: BA in Comp Sci (2016)
TECEP:Env Ethics (2015); TESU PLA:Software Eng, Computer Arch, C++, Advanced C++, Data Struct (2015); TESU Courses:Capstone, Database Mngmnt Sys, Op Sys, Artificial Intel, Discrete Math, Intro to Portfolio Dev, Intro PLA (2014-16); DSST:Anthro, Pers Fin, Astronomy (2014); CLEP:Intro to Soc (2014); Saylor.org:Intro to Computers (2014); CC: 69 units (1980-88)
PLA Tips Thread - TESU: What is in a Portfolio?