Hands-On Edge AI Workshop for Educators at ASEE 2025 Open for Registration
By Kezang Loday 6 months agoReady to bring real-world AI into your classroom? The ASEE Annual Conference in Montréal is organizing a hands-on workshop designed for engineering educators who want to integrate practical Edge AI into their curriculum. Hosted in Room 518A at the Palais des congrès de Montréal, this sponsored tech session by Arm Education will equip participants with tools, hardware, and teaching strategies to confidently bring AI to life in their classrooms.
The session opens with an insightful talk by Prof. Vijay Janapa Reddi from Harvard University, a renowned expert in AI systems and one of the minds behind Machine Learning Systems—a living, open-source book that bridges the gap between ML theory and real-world deployment. His talk will unpack the pedagogical value of AI at the edge and how it can empower the next generation of engineers. Following this, Prof. Marcelo Rovai from Federal University of Itajubá, Brazil, a leader in embedded systems education, will guide a hands-on tutorial using Arm-based development platforms like the Grove Vision AI Module V2 equipped with the Himax WiseEye2 HX6538 processor running on Arm Cortex-M55 & Ethos-U55. You’ll train and deploy AI models for real-time vision applications—all on hardware accessible and affordable enough for undergraduate labs.
Venue
🕜 1:30 PM to 3:00 PM
🗓️ Tue. June 24, 2025
📍 518A – Sponsor Tech Room , Palais des congres de Montreal
Who Should Attend
Faculty and instructors in electrical, computer, and software engineering, as well as STEM educators seeking to infuse AI concepts into their teaching.
What You'll Need
Just bring a laptop with USB-C support—hardware will be provided! Plus, with the support from Himax and Seeed Studio, 20 participants will receive free dev kits to take home.
Why This Workshop Matters
The practical content you’ll experience in this session can now be previewed aswed part of the lab materials in the Machine Learning Systems book by Prof. Reddi and Prof. Rovai. The labs consists of 3 hands-on sessions of No-Code Application, Image Classification, and Object Detection. This makes the workshop a unique opportunity to directly engage with emerging educational resources that are shaping global AI education.
Transform AI Education with Hands-On Edge Learning
Seats are limited, so don’t miss your chance to participate in this immersive learning session. Whether you’re updating your curriculum or just starting to explore AI in your course design, this workshop will provide the foundation you need to take your students from theory to deployment—one real-world project at a time.
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