Workshops & Events
WORKSHOPS & EVENTS
Learn together.
Build together.
From annual TinyML and EdgeAI research workshops at ICTP in Trieste to monthly student showcases on Zoom — the AI engineering education community gathers regularly to teach, learn, and share.
What We Do
The curriculum comes alive through hands-on workshops, community showcases, and free online courses — held on the ground and virtually, reaching learners across five continents.
Since 2021, we have run workshops in Trieste, Bogotá, Nairobi, Johannesburg, Macau, Malawi, Morocco, and dozens of virtual sessions. Whether it is a week-long research workshop at the International Centre for Theoretical Physics or a 30-minute student demo on Zoom, the goal is the same: bring people together to learn ML systems by building real things on real hardware.
SciTinyML Workshops
Our annual flagship workshop series, hosted with ICTP in Trieste. Researchers and students spend a week applying machine learning to scientific challenges on low-power devices — from environmental monitoring to health diagnostics. Regional editions have been held across Latin America and Africa.
Show & Tell
A monthly virtual session where students from 20+ countries present TinyML and EdgeAI projects — agriculture, healthcare, environmental monitoring, assistive technology. Classroom work, research, and lessons from failures are all welcome. Hundreds of past talks are archived on YouTube.
Full Courses
Full-length courses on TinyML and EdgeAI — semester-scale offerings that go well beyond the workshop format. Built on the open curriculum and delivered through TinyMLedu, these are the anchor deployments adopted by universities worldwide.
Who Makes This Happen
These workshops and programs are built by a global team of educators and organizers who volunteer their time, expertise, and institutional support.
Workshops and programs are hosted and supported by a network of academic and nonprofit partners — see Partners & Sponsors.
Plus 50+ global educators who run regional workshops and champion ML systems education at their home institutions.