How I passed the TensorFlow Developer Certification Exam | Syndication - TNW

This article was written by Daniel Bourke and was originally published on Towards Data Science. You can read it here.

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Daniel Bourke, Author at The Next Web said, At the start of May, I decided to get TensorFlow Developer Certified. So I set myself up with a curriculum to sharpen my skills and took the certification — turns out, I passed.

Photo: Unsplash

Let me tell you how I did it and how you can too.

Hold on, what even is TensorFlow?

TensorFlow is an open-source numerical computing framework that allows you preprocess data, model data (find patterns in it, typically with deep learning) and deploy your solutions to the world.

It’s what Google uses to power all of its machine learning services. Chances are, the device you’re reading this on has run some kind of TensorFlow before.

How to prepare for the exam

When I decided I wanted to I went through the certification website and read the TensorFlow Developer Certification Handbook.

From these two resources, I built the following curriculum.

Curriculum — what I studied to build the skills necessary for passing the exam

It should be noted that before I started studying for the exam, I had some hands-on experience building several projects with TensorFlow.

The experienced TensorFlow and deep learning practitioner will likely find they can go through the following curriculum at about the same pace I did (three weeks total), maybe faster.

The beginner will want to take as much time as needed. Remember: building any worthwhile skill takes time. 

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Source: TNW