=This is an old mike.bobak.googlepages.com snapshot of some courses after grad shoool
 =During grad school I took as many grad AI units as someone getting a PhD in the area

==Previously: 
also at: http://mike.bobak.googlepages.com/MichaelBobak_CV2012.pdf
College Course work related to Artificial Intelligence (AI): Introduction to
Artificial Intelligence, Pattern Recognition & Machine Learning, 
Programming Language Principles, Special Topics in Neural Networks,
Mathematical Modeling & Visualization, ComputerInference& 
KnowledgeAcquisition, Design of Computer Problem Solvers, Computer Models of
Cognitive Processes, AI-2 http://aima.cs.berkeley.edu/ , 
Mechanized Mathematical Inference -(1/2 of), Human Computer Interaction(HCI),
Building Problem Solvers

Most where grad UIUC classes, the last was at nwu.edu, 
&had a few from UIC audits this time, after this as well
I also used to spend time at the UIC EVL lab/talks as well

Then below are the coursera and open.hpi online classes:

==Currently/newer:
data-analysis(done) https://class.coursera.org/dataanalysis-001
semantic-web(done) https://openhpi.de/courses/4/
web-intelligence(done w/distinction) https://www.coursera.org/course/bigdata
machine-learning(done w/distinction/100%) https://class.coursera.org/ml-003/class/index
data-science(done w/distiction) https://www.coursera.org/course/datasci 
design-thinking(in progress) https://venture-lab.org/designthinking 
discrete-optimization(audit) https://class.coursera.org/optimization-001/class/index
scientific-comp(dropped) https://class.coursera.org/scientificcomp-003

Some of the above might be captured in this coursea class list dump at:
 http://represent2reason.ddns.net/Sites/mikebobak/coursera.html

=ps. in 2023, I just signed up for my 7th HPI AI course, this time in Knowledge-Graphs 
 https://mbcode.github.io/openHPI.png has my https://open.hpi.de/dashboard listing them