I emplore you not to pay a large amount for a boot camp without doing some other form of study, and finding that you have an aptitude for it. Good engineers are born, not made, and trying to force yourself into that path without having aptitude for it will just be an exercise in frustration, and a road to wasting a lot of time and money on that boot camp.
If you can finish an introductory programming course or two, find that you master the material easily and are able to do independent programming projects, THEN consider the boot camp, or even a full-blown BS/BA in CS. If you like computers, but don't find programming to be all that exciting, then you may want to consider an IT career instead. It can be every bit as lucrative as being a software engineer, but requires a slightly different skill set and temperament.
Edit: That boot camp you linked is way too expensive. You could get a full blown BACS for much less money than that using the methods we outline here.
If you can finish an introductory programming course or two, find that you master the material easily and are able to do independent programming projects, THEN consider the boot camp, or even a full-blown BS/BA in CS. If you like computers, but don't find programming to be all that exciting, then you may want to consider an IT career instead. It can be every bit as lucrative as being a software engineer, but requires a slightly different skill set and temperament.
Edit: That boot camp you linked is way too expensive. You could get a full blown BACS for much less money than that using the methods we outline here.
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?
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