Music Educators' Guide to AI

Turn AI from a novelty into a teaching advantage. This course guides music educators through practical classroom applications using Gemini Notebook, Claude, Perplexity, Klangio, and more, culminating in a personalized AI workflow.

Buy $49.00

About This Course

"Music Educator's Guide to AI" takes music educators past the novelty of AI tools and into practical, sustainable classroom use. Using the Loom, Bike, and Crane framework, this course maps a clear path from simple automation to real instructional leverage. You'll get hands on with tools built for music education, including Gemini Notebook, Claude, Perplexity, and AI listening and notation tools like Klangio. By the end, you'll have a working system for using AI in your program, not just a list of apps to try.

Course curriculum

1. Music Educator's Guide to AI
2. Lesson slides
3. Quiz - AI in 2026
1. A Framework for AI in Music Education
2. Lesson Slides
3. Quiz - The Loom, the Bike, and the Crane
1. The Right Tool for The Right Job
2. Lesson Slides
3. Quiz - The AI Toolbox
1. AI Music Notation and Listening Tools Overview
2. Lesson Slides
3. Quiz - AI Music Notation & Listening Tools
1. Gemini Notebook - Institutional Memory
2. Lesson Slides
3. Quiz - Gemini Notebook
1. Perplexity - Search. Research. Act.
2. Lesson Slides
3. Quiz - Perplexity
1. Replit
2. Lesson Slides
3. Quiz - Vibe Coding
1. AI doesn't hold the baton. You do.
2. Lesson Slides
3. Quiz - Ethics, Guardrails, and Human in the Loop
1. Using Multiple AI tools to build out a concert program (and more!)
2. Lesson Slides
3. Quiz - The Full Stack
4. Congratulations!

About this course

$49.00
28 lessons
1.5 hours of video content
Certificate

Who This Course Is For

This course is for music educators who want to use AI as a real part of their workflow, not just experiment with it. Whether you're a choral director, band director, general music teacher, or program administrator, you'll leave with tools and frameworks built for the actual demands of running a music program.

What You'll Learn

Build a working Gemini Notebook system to manage choral libraries, program bureaucracy, and performance feedback
Use AI listening and transcription tools like Klangio to turn audio into notation and analyzable data
Match the right AI tool to the right task, using a practical toolbox of Gemini Notebook, Claude, Perplexity, and Replit
Apply the Loom, Bike, Crane framework to identify where your current AI use sits and what the next stage looks like
Develop the mindset to create future workflows with AI as a partner

Instructor

Matt Woodward

Matt Woodward brings 18 years of classroom experience to the intersection of music education and AI. A nationally recognized choral director, he built an award-winning contemporary a cappella program at MacArthur High School in San Antonio, earning national championship recognition and mentoring ensembles at conferences across the country. He now serves as VP of Sales, Support & Solutions at Merlyn for Education and is co-founder of MusEdLab.ai, an AI teaching studio built specifically for music educators. Matt holds AI credentials from Anthropic and Perplexity, and speaks nationally on practical AI adoption in the arts classroom, including a featured session at TMEA. He brings the same rigor to AI as he does to music: knowing which tool fits the task, and using it with purpose.

Get AI to Work for You as Your Partner

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