Composers, musicians, teachers, performers, researchers.

• Fluent in spoken and written English.
• Participants should be comfortable working in digital audio environments such as MaxMSP and Ableton Live, and have prior experience composing with these tools.
• Basic knowledge of Max and its environment: hands-on familiarity and understanding of Max’s basic tutorials (Max Basics tutorials 1–11, 14–22; Max Data tutorials 1 and 2; MSP tutorials; MSP Basics tutorials 1–5; MSP Panning tutorials 1–3; MSP Analysis tutorials 1 and 2; MSP Delay tutorials 1–3 and 6), or completion of the Max Beginner course
• A beginner’s level knowledge of Python is strongly recommended.
• Knowledge of signal processing basics is a plus.
• Experience in mathematics and computer programming is a plus.
• Basic concepts of using the Zoom application.

Some details of the training program are subject to change depending on developments in the software on which they are based.

After a brief introduction to the concepts of artificial intelligence and machine learning, participants will delve into the mechanisms and practical use of nn~ and RAVE, then learn how to customize them for their artistic projects.

Tuesday, March 3

Core curriculum Part 1:

• Fundamentals of machine learning and generative AI for music.
• Introduction to RAVE VST and nn~ in Max and Ableton.

Tuesday, March 10

Core curriculum Part 2:

• Theoretical deep dive: latent space and transformations.
• Creation of control patches for different models in Max.

Tuesday, March 17

This session will be divided into two groups to allow for more personalized learning:

Group 1: Training your own generative models

• Getting started with Pytorch and RAVE training code in Python.
• Scripting pre-existing models for integration into nn~.

Group 2: Advanced control and bending

• Creating complex patches for latent manipulation.
• Motion control.
• Network bending.

At the end of the session, time will be set aside for trainees to begin work on a personal application, in order to put the concepts studied into practice, with a view to presenting their work the following week.

Tuesday, March 31

Presentation of personal work, discussion, and ideas for further exploration.

• Attendance controlled : signature of an attendance sheet required every morning and afternoon.
• A certificate at the end of the program is given to each participant with the results of the exam.
• Assessment of knowledge and skills in the form of an open creative project.

This professional training course will be held online and taught in English.

• Technical requirements: Please download the following software prior to the training course:
• • Max (minimum version 8.6)
  • nn~
  • Ableton Live (optional)
  • Python 3.12 with an Anaconda environment (optional)
• To get the most out of the training, you will need two screens and a good internet connection.
• Links to access the platform and instructions for taking the course remotely will be provided to each participant.
• The software is not included in the training fee and will not be provided at the end of the training.