About Barrios AI

Barrios AI teaches applied artificial intelligence with a focus on musicianship. We go past chat tools and prompting to show guitarists and other instrumentalists how modern models are built, how they behave, and how to shape them for your own style. Our aim is simple: use AI as a partner that strengthens practice, composition, and performance—never as a substitute for human creativity.

We also work with educators. We help teachers understand what these systems can and can't do, and how to fold them into lessons in ways that support students' learning. The goal is to augment good teaching—not replace it—with tools for adaptive practice, formative feedback, and clearer explanations.

Books

Our books meet learners at every stage—from fundamentals to practical projects. They build technical fluency in plain language: how models are trained, how data affects output, how to write effective inputs, and how to string tools together to solve musical problems. Musicians learn how to guide AI models effectively for their needs, and how to use prompts and vibe coding to generate useful practice and compositional material. They also learn to set up repeatable workflows that strengthen their playing and creativity while keeping musicianship at the center.

Educators learn to create responsive materials and track understanding over time. Groups—whether ensembles, bands, or teaching teams—learn how to use AI collaboratively, shaping shared workflows and creative processes without losing the human connection that makes music meaningful.

Live Workshops

We offer live AI workshops on Google Meet or in person, tailored to your group's domain and experience level. Sessions are dense, hands-on, and focused on doing: guided labs, clear takeaways, and practices you can put to work right away—whether you're exploring augmented intelligence or fitting AI into day-to-day workflows and planning.

Our Founder

Barrios AI was founded by Jonathan Barrios—an AI Data Scientist, Educator, and Musician with 10+ years teaching data science, machine learning, full-stack development, and generative artificial intelligence. He has taught at Treehouse, Thinkful/Chegg, and CBT Nuggets. At the heart of Jonathan's work is the core belief that AI should safeguard and augment human creativity and capability—not replace it.