There's the old saying that when all you have is a hammer, everything looks like a nail.  That's pretty much been my philosophy in terms of computing languages -- when it comes to the programming problem, Java is my hammer.  With a side bit of UNIX Bash scripting for quick data problems and gluing together solutions.  Outside of academia languages, which I do not even pretend to follow,  or statistics languages, or frameworks, is it really necessary to know everything?  I'll peruse the articles in IEEE Computer or my ACME magazines, but that's about it.

When I started to dig into what Machine Learning education is available I was pleasantly surprised to find that there is a nice selection to choose from in the MOOCs (Massive Open Online Courses) area.   There might be more but I've looked at the following from the big three.  From my novice point-of-view none of them look easy.  And none are Java based using python.

I've been interested in Artificial Intelligence for sometime though never had much opportunity to engage in it due to work and family.  I had more of a layman's view of AI until recently.  I would think of AI as HAL from 2001 (1969) or IBM's Deep Blue vs Garry Kasparov  (1997) using brute force searches -- bound to happened eventually if you had enough hardware.  And then IBM's Watson 2011 Jeopardy game with language recognition.  Wow!  Now it is seems a week doesn't go by without some sort of AI break though.  Discussion in the press about robots taking our jobs,  AI taking over the world,

20 years in IT and still going strong...  The first time I used Java was sometime in 1997.   Starting in 1996 at my first corporate IT job (thanks always to David Fraser), I was part of the development environment support team at AT&T Wireless (just formerly McCaw Cellular) and we were writing lots of tools to support our gigantic Axys Call Center CRM application 

Certified Information System Security Professional (CISSP) Certificate

Issued to:  Austin Davis Holiday

Expired:  2017-07-31

From:  (ISC)²