Sequence to learn tensorflow from specialization

My question is what should be the sequence of specialization that are in deepleaning.ai for tensorflow courses. There are three specialization, then what should be the sequence to learn? Which specialization to take first, which second and third ? Please help me.

I have wondered this too, but haven’t gotten a great answer here yet. Also, keep in mind Google, for the time being, has decided to kill the certification-- So I don’t know what is up with that ? Receive the TensorFlow Developer Certificate - TensorFlow

And, it should be completely irrelevant, but I know the main teacher of the course recently left Google.

Let’s ‘see what they do’, but my concern is rather than open source they might be trying to pull AI ‘in-house’, i.e. Gemini and various services.

Here’s my recommendation:

  1. ML if you’re new to the AI field.
  2. DL
  3. TF 1

Depending on your interest, take other specializations.

I don’t think you need Math for ML (Adding @lucas.coutinho to confirm)

Tensorflow developer certificate specialization just launched an update of all courses in the specialization. So, I don’t think it matters if the instructor is with Google.

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