This hands-on session walks educators through implementing FarmBeats for Students, a program that puts sensor kits and machine learning tools directly in students' hands. Attendees will see how classrooms use environmental sensors to collect real plant data, then use that data to train machine learning models, no coding background needed. We'll cover the practical setup: kit assembly, curriculum pacing, and common classroom hiccups. The session also unpacks the AI concepts in accessible terms, showing how students build intuition for how machine learning works by watching a model learn from their own plant data. Teachers will leave with a ready-to-use roadmap for bringing precision agriculture and applied AI into their classroom. Attendees will need a device for this session.