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This course will give you a broad overview of how machine learning works, how to train neural networks, and how to deploy those networks to microcontrollers.
Build and deploy edge AI models on microcontrollers: apply embedded machine learning to time-series sensor and vision data within tiny devices' hardware constraints.
Train convolutional neural networks to classify images and detect objects, then deploy them to microcontrollers and single board computers using Edge Impulse.
Learn the concepts and vocabulary of edge AI, from how edge AI systems are architected to where the technology is applied in practice.
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