How do I get TensorFlow developer certification?

Become a Tensorflow Certified Developer — It’s easier than you think ! Starting out in Data Science and Machine Learning is still difficult because of the different approaches one can take and are suggested. Even more difficult is having to prove your proficiency to potential clients and recruiters.

The TensorFlow Developer Certificate turns 1! — The TensorFlow Blog. July 12, 2021 — Posted by Alina Shinkarsky and Jocelyn Becker on behalf of the TensorFlow Team The TensorFlow Developer Certificate exam is celebrating its first anniversary with a big milestone: more than 3,000 people have passed the exam!

Your certification expires 36 months from the date when you receive your digital badge . To renew your certification at that time, you need to complete the registration and certificate process again. TensorFlow endorses the principles of equal opportunity.

While ZipRecruiter is seeing annual salaries as high as $204,000 and as low as $94,000 , the majority of Tensorflow salaries currently range between $104,500 (25th percentile) to $187,500 (75th percentile) with top earners (90th percentile) making $197,000 annually across the United States.

Data Science: Intro To Deep Learning With Python In 2021 Understand the intuition behind Artificial Neural Networks. Build artificial neural networks with Tensorflow. Classify images, data using deep learning. Apply Convolutional Neural Networks in practice.

And the TensorFlow test is not easy . You do need more than basic knowledge to efficiently train the models to get top accuracy scores in the time allowed. As of this posting, there are only 125 certificate holders in North America according to their network so it is a great time to stand out.

And the TensorFlow test is not easy . You do need more than basic knowledge to efficiently train the models to get top accuracy scores in the time allowed. As of this posting, there are only 125 certificate holders in North America according to their network so it is a great time to stand out.