The education system is on the brink of a massive evolution. We aren’t just looking for students; we are assembling a collective of 5 intentional individuals to master sovereign AI infrastructure, dive into the frontier of vibe coding, and build a localized AI education system from the ground up.
If you want to move past being a passive consumer of tech and become a creator who shifts how the world views teaching, your seat is at the table.
The AI Brain Trust is an intensive, hybrid fellowship blending collaborative virtual sessions with deeply practical, hands-on physical labs.
This is an end-to-end, hardware-to-software mastery program. You will transition from foundational computer skills directly into bleeding-edge deployment:
Learn how to physically build an AI server from scratch.
Load, configure, and optimize Large Language Models (LLMs) directly onto local systems.
Structure specific knowledge bases for targeted tasks and specialized academic areas of study.
Get a complete introduction to vibe coding—conversing fluently with AI to build applications and skills seamlessly using fluid prompting.
Master secure FTP transfers, local skill creation (.md framework files), and prompt-to-product deployment strategies.
This isn't a traditional, passive lecture series. Bingham Labs has always been anchored in osmosis—learning through active information flow, curiosity, and shared responsibility on the lab floor. As a member of this 5-person brain trust, your unique background will actively shape the system we build.
The current educational landscape relies on standardized, cloud-dependent frameworks that ignore individual pacing and data independence. By focusing on localized, nimble, and customizable AI education networks, this team will establish a blueprint for how teaching should look going forward.
You will leave this program not just with technical literacy, but with the demonstrable portfolio of having designed a foundational education engine.
We are looking for curious minds, system thinkers, and community-oriented creators who aren't afraid to get their hands dirty with hardware and code. No advanced computer science degree required—just an insatiable appetite to learn, build, and disrupt.