Barrios AI Workshop Details

Overview

By the end of this workshop, you'll understand how music theory, mathematics, and AI intersect—and how to use that connection to fuel your creativity. We'll explore three generations of software thinking: Software 1.0 (traditional programming), Software 2.0 (deep learning), and Software 3.0 (natural language programming). Using tools like Python, Google Colab, and modern AI models, you'll learn basic programming, how to apply AI to music composition, and how to build your own Python-based AI music classifier app from scratch. You don't need prior coding experience—everything starts from the basics and builds up gradually.

What You'll Learn

• Understand how music theory, mathematics, and AI are connected
• Apply AI to music composition and advanced theory
• Generate and transform music using AI-powered models
• Build a Python-based AI classifier app from scratch
• Work fluently across Software 1.0, 2.0, and 3.0 for maximum creativity

Schedule & Format

Session Breakdown:

• Section 1 – AI in Music Foundations (105 min)
• • How AI, music theory, and math connect
• • Overview of Software 1.0, 2.0, 3.0
• • Setting up Python in Google Colab
• • Break (15 min)
• • Guided hands-on: using Claude and Opus by Anthropic, or Grok by xAI to generate music-related Python code
• Section 2 – Composition & Sound Design with AI (105 min)
• • Generative audio models
• • Melody transformation and AI-assisted harmony
• • Break (15 min)
• • Group exercise in collaborative AI composition
• • Custom sound design with AI tools
• Section 3 – Building & Performing with AI (105 min)
• • Intro to TensorFlow/Keras for music
• • Live performance workflows with AI
• • Break (15 min)
• • Capstone project: build and test your own chord-classifying AI app
• • Q&A and Wrap-Up: Certificate of completion, LinkedIn skill validation, and Slack group invitation