The Edge Impulse University Program empowers educators from around the world to train the next generation of edge machine learning professionals.
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10 Arduino Kits
Access to lesson plans and sample projects
Access to training videos
Join a Discord channel of edge ML experts
Edge Impulse is an end-to-end development platform for
machine learning on any device
To help you teach machine learning on embedded systems, we provide a collection of slides, reading material, videos, and project prompts organized into modules. You are welcome to download, modify, and integrate this material into your curriculum!See Courseware
Edge Impulse partnered with Harvard SEAS to coauthor an academic paper detailing how Edge Impulse provides solutions to many of the challenges faced by the edge and embedded machine learning communities. You can read the abstract and full paper on arXiv.See paper
10x Arduino TinyML kits for each university
Machine learning on resource-constrained devices is creating a new field of study while gaining impressive relevance in the industry. New technologies are being developed to solve problems in a variety of areas.
With Edge Impulse, governments and utility providers can more intelligently manage electric and water grids and local infrastructure.
With Edge Impulse, smart building and home vendors are improving building energy effiency, and creating safer, more comfortable and longer lasting living and working spaces.
With Edge Impulse, wearables, consumer device and appliances manufacturers are leveraging human movement, biometrics and gestures to add new features to their hardware platforms.
With Edge Impulse, intelligent asset tracking is unlocking new insights in supply chain, logistics, agriculture and other industries where sensor, audio and vision data can be used to provide more contextual awareness to assets.
With Edge ML, agriculture solutions developers can help farmers automate and maximize output, leading to operational automation and machine-led decision making.