Machine Learning for Musicians

education program·university course·active

Hands-on Berklee course for building music-machine-learning applications, including generative audio systems and neural audio tools.

Recorded facts

Official site	https://college.berklee.edu/courses/mtec-345 ↗
Geography	United States
price	Included in Berklee tuition; course-specific price not disclosed
title	Machine Learning for Musicians
format	in_person
topics	music machine learning; generative audio; neural audio plugins; mixing and mastering tools; Jupyter; GitHub
duration	semester; 3 credits
end date	unknown
language	English
location	Boston, Massachusetts
provider	Berklee College of Music
recurrence	Fall and Spring
start date	unknown
instructors	Akito van Troyer
program type	undergraduate course
prerequisites	LMSC-261 Introduction to Computer Programming
program state	recurring
target audience	Berklee B.M. and professional-diploma students
learning outcomes	Take a music-ML project from concept to launch; build technical and creative music-AI applications
application deadline	Institutional registration; exact deadline not public
credential or outcome	3 academic credits
scholarship and funding	not publicly disclosed