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 # On-Device Learning
 
+![_DALL·E 3 Prompt: Drawing of a smartphone with its internal components exposed, revealing diverse miniature engineers of different genders and skin tones actively working on the machine learning model. The engineers, including men, women, and non-binary individuals, are tuning parameters, repairing connections, and enhancing the network on the fly. Data flows into the machine learning model, being processed in real-time, and generating output inferences._](./images/cover_ondevice_learning.png)
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 ::: {.callout-tip}
 ## Learning Objectives