The Transformation from TensorFlow User to TensorFlow Developer

Akshith Kumar
Jun 24 · 3 min read

The complete story behind my developer certificate.

I received my TensorFlow Developer Certificate!!

Initially, when I started working on machine learning projects, I felt cool learning and implementing those algorithms on related problems. But while coming to neural networks, it was hard to implement them for solutions due to the vastness in the subject of neural networks. So, Started using TensorFlow which made time to grab the things inside this API. Somewhere I heard If you see things are complicated then start them in simple. I did the same by starting basic syntax and knowing more about the API. I believe it learning new stuff would be much more easily through the online platforms.

Getting ready to take up this exam took me around two months period of time. And I will share those two months' experience here. It is a great experience of mine taking this exam which transformed me from user to developer through their community.

First step: Go through the candidate handbook TensorFlow Developer.

Next start scheduling the exam pattern in the skills checklist.

I made my schedule plan for the exam TensorFlow Developer Preparation. Click on the duplicate icon to get access to your own.

Initially, started brushing up on the concepts through codebasics which I would highly recommend for the basics and visual treat of Data Science concepts. And most importantly this exam is related to Coursera provided DeepLearning.AI TensorFlow Developer course so start taking up the course.

Mandatory work for this exam is practice so don't leave just completing the courses. Instead, take some data to explore and work using TensorFlow API.

Once everything is ready to start the exam, Sorry one more thing to mention the exam is conducted on Pycharm IDE. So make sure to get familiar with Pycharm to get set ready for the exam. Even I'm not familiar with Pycharm initially so took one week to work on it to get familiar with it.

I took my exam on June 20th and received that you have passed the exam on the next minute of the final submission. So in the exam environment, you will have five questions to answer each graded out of 5 with five hours to complete. You have to run the models on the Pycharm and submit those model weights to test your model and there you will see the score for each model submission and the great thing is we can submit the model as many times as we need. Once it is done within the allotted time click on the END button for final submission.

Thanks for reading!! All the best for your exam.

MLearning.ai

Data Scientists must think like an artist when finding a solution

MLearning.ai

Data Scientists must think like an artist when finding a solution, when creating a piece of code.Artists enjoy working on interesting problems, even if there is no obvious answer.

Akshith Kumar

Written by

Data Science Enthusiast https://www.linkedin.com/in/akshithkumar-05

MLearning.ai

Data Scientists must think like an artist when finding a solution, when creating a piece of code.Artists enjoy working on interesting problems, even if there is no obvious answer.