Admissions to a graduate program is never all that simple. It's a package that includes your grades, your degree, the courses you've taken, your life and work experience, and the quality of the references and the writing you submit with your package.
The place to start is where you want to be accepted. Rather than say all schools will be fine with a lot of ACE credits, I would instead say that it should be possible to find a program that will accept a degree with significant ACE credits. So if you are expecting to get into a top drawer program with no professional experience and just your DIY bachelor's, I'd say probably not. If you can be flexible about where you go, then I'd say you should have success.
If you have your heart set on a particular program or two, then you should address some of these questions to their admissions department. Unlike advisors for bachelor's programs, you can expect them to respond with useful information. It may be they will be fine with your plans, or will be fine, except for certain prerequisite courses. Only they will be able to answer.
The place to start is where you want to be accepted. Rather than say all schools will be fine with a lot of ACE credits, I would instead say that it should be possible to find a program that will accept a degree with significant ACE credits. So if you are expecting to get into a top drawer program with no professional experience and just your DIY bachelor's, I'd say probably not. If you can be flexible about where you go, then I'd say you should have success.
If you have your heart set on a particular program or two, then you should address some of these questions to their admissions department. Unlike advisors for bachelor's programs, you can expect them to respond with useful information. It may be they will be fine with your plans, or will be fine, except for certain prerequisite courses. Only they will be able to answer.
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?