How I passed Tensorflow Developer Certificate Exam & here’s how you also can pass

Vishesh Tripathi
2 min readJul 19, 2021


At the beginning of April 2021, I decided to give Tensorflow Developer Certificate exam and started preparing for it.

Let me tell you how I did it, and how you can do it. Hold on. What exactly is TensorFlow?

TensorFlow is an open source numerical computing framework that allows you to preprocess data, model data (look for patterns in it, usually using deep learning) and deploy your solution to all parts of the world. This is the tool Google uses to support all of its machine learning services. Chances are, the device on which you are reading this article has already run some kind of TensorFlow.

So, before you start learning Tensorflow, you should have good knowledge of python. For learning python , the best resource is the python for beginners video by

After you are done with python, you should get yourself familiar with some basics of Machine Learning Libraries before jumping on to the Tensorflow Framework. The next two videos from will do that :

Learning Numpy
Learning scikit

Now that you are done with python and some common Machine Learning libraries. You can start with Tensorflow.

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

While preparing for the core Tensorflow Developer Certification Exam, I followed the following course, which if you will follow, will most probably pass the exam. This isthe best resources for the exam.

The DeepLearning.AI Tensorflow Developer Professional Certificate

Tensorflow Badge




Vishesh Tripathi

Wearing four hats as a competitive programmer, Full Stack Developer , Machine Learning Enthusiast & UX Designer