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<td><ahref="https://www.seas.harvard.edu/"><imgsrc="/assets/images/thumbnails/harvard_seas.svg" alt="Harvard John A. Paulson School of Engineering and Applied Sciences" style="max-height:25pt; width:auto;" /></a><ahref="https://www.edx.org/"><imgsrc="/assets/images/thumbnails/edX.png" alt="edX" style="max-height:25pt; width:auto;" /></a></td>
<td><strong>Embedded Machine Learning on Coursera</strong><br/> by Edge Impulse</td>
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<td>Launched 2021-2022</td>
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<td>Everyone</td>
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<td>English</td>
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<td>English</td>
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<td><ahref="https://www.coursera.org/learn/introduction-to-embedded-machine-learning"> Course 1 </a><br/><ahref="https://www.coursera.org/learn/computer-vision-with-embedded-machine-learning"> Course 2 </a><br/><ahref="https://github.com/edgeimpulse/courseware-embedded-machine-learning"> All Materials </a><br/></td>
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<td><ahref="https://unifei.edu.br/"><imgsrc="/assets/images/thumbnails/unifei.png" alt="Universidade Federal de Itajubá (UNIFEI)" style="max-height:25pt; width:auto;" /></a></td>
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<td><strong>UNIFEI IESTI01</strong><br/> TinyML - Machine Learning for Embedding Devices</td>
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