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How I Prepared for the TensorFlow Developer Certification

Tips on How to Study, Prepare and Pass the Exam

Margaret Maynard-Reid
5 min readJan 8, 2021

I passed the TensorFlow Developer Certificate exam! Here is how I studied and prepared for it. Please note I was already familiar with TensorFlow and Deep Learning prior to taking the exam, so this post is most applicable to those with similar ML knowledge and skills level.

TensorFlow Developer Certificate — Margaret Maynard-Reid

Here is a summary of what I learned from studying illustrated with sketchnotes

Image by the author

Study

Coursera Course

First of all, taking the DeepLearning.ai TensorFlow Developer Professional Certificate Specialization courses on Coursera was the most helpful preparation. Thank you Laurence Moroney and Dr. Andrew Ng!

There are four courses in this TensorFlow specialization:

  1. Intro to TensorFlow
  2. Convolutional Neural Networks (CNN)
  3. Natural Language Processing (NLP)
  4. Sequences, Time Series and Prediction

These courses focus on the “how” (to use TensorFlow 2.x) while explains some of the…

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Margaret Maynard-Reid
Margaret Maynard-Reid

Written by Margaret Maynard-Reid

AI, Art & Design: ML GDE (Google Developer Expert) | Google Cloud Champion Innovator | 3D Fashion Designer

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