Bring Hands-On & Collaborative AI PD to Your School
Level up your faculty's AI literacy with our AI Explorations and guided discussion protocols
What We Offer
Customized AI Exploration Cycles
We design exploration experiences tailored to your school's specific context, student population, and pedagogical priorities. Whether you're just beginning to grapple with AI or looking to deepen existing practice, we meet you where you are.
On-Campus Facilitation
Our team brings Co-Lab's proven model of AI exploration and discussion your faculty. We facilitate a complete cycle—from orientation to hands-on experimentation to collaborative debrief—creating space for teachers to learn together.
Integration with Your PD Structure
We work within your existing professional development calendar and structures. We coordinate with department heads, division directors, and technology leaders to ensure our work complements and enhances your current initiatives.
Co-Lab is Different
Experimentation Over Presentation
We don't lecture about AI—we put this technology in teachers' hands. Faculty spend the majority of their time using AI tools for educational use cases that apply to their own classrooms. After all, innovation requires use.
Designed by Teachers, for Teachers
Every Co-Lab exploration is designed collaboratively by full-time educators working across diverse schools and disciplines. We understand the reality of your teachers' lives because we live it too.
Relentlessly Focused on Teaching and Learning
We keep conversations laser-focused on pedagogy. Our essential question is always: To what extent will this use of AI enhance (or hinder) teaching and learning?
Building Community, Not Just Skills
The most powerful professional development happens when teachers learn from each other. We structure our work to cultivate solidarity and shared problem-solving, creating a network of colleagues who continue learning together long after we leave.
From Literacy to Agency
One-and-done training doesn't create lasting change. Co-Lab's iterative model—experiment, reflect, discuss, experiment again—develops teachers who can make informed, autonomous decisions about when and how to use AI in their practice.