TinyML is an edX course on running machine learning models on very small, resource-constrained devices at the network edge. It covers the constraints of deploying ML on low-power hardware.

Commenters point to it as a free starting point for learning TensorFlow and edge ML, noting it covers exactly the constraints of bringing ML to edge devices.

On Reddit (2)

1. Recommendss4hcr/MachineLearning2021in “[D] What constraints one has to begin to learn when bringing ML down to Edge / Fog Computing paradigms?”▲ 3

   Have you had a look at the TinyML course on EDx? It covers exactly this and you can audit for free.

2. RecommendsUltraViolencedr/learnmachinelearning2021in “Where do I get started with the goal of learning TensorFlow?”▲ 2

   Edx.org - TinyML course is a good start and free. You can do two courses (third available soon) and it’ll at least give you a start.

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