Practicing engineers
Chemical and process engineers who want to apply AI, ML and Python to plant problems. Written for engineers new to machine learning.
View coursesWe teach AI, machine learning and Python to practicing chemical and process engineers, through the problems they already solve.

Engineers adopt a method when they can see the problem it solves on their own plant. So every lesson starts with industrial motivation, then the method, then the implementation.
That order keeps the teaching honest. A model is only useful if it agrees with lab results, respects spec limits and makes sense against the physics of the unit, and every course teaches those checks alongside the code.
01
Distillation columns
02
Reactors
03
Pipelines
04
Wastewater treatment
05
NIR spectroscopy
06
Crude oil blending
Chemical and process engineers who want to apply AI, ML and Python to plant problems. Written for engineers new to machine learning.
View coursesLeaders, process engineers and production engineers, trained together on site or remotely.
Industrial trainingFaculty development, certificate courses for students and curriculum licensing.
Programs for collegesCourse 1 is 20 hours of Python and machine learning on chemical engineering data, at your own pace.