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! Successful test takers received the official TensorFlow Developer Certificate and badge. They also had the opportunity to showcase their skill set on social networks such as LinkedIn and the TensorFlow Certificate Network, where recruiters are able to seek out entry-level TensorFlow developers.
The TF Certificate program bridges the gap between the demand from companies for data-knowledgeable, production ML-capable engineers — and the students and developers around the world interested in getting a job in ML.
The goal of this program is to provide developers around the world with the opportunity to demonstrate their skills in ML in an increasingly AI-driven global job market. This is a foundational certificate for students, developers, and data scientists who want to demonstrate practical machine learning skills through building and training basic models using TensorFlow.
We’ve followed up with folks who have taken the exam to understand the impact on their professional lives.
Fran shared, “Lost my job due to COVID 1 month before taking the exam, hired by Google in August, I think this cert helped a lot for my resume to be selected for interviews :)“
Fran is now a Conversational AI engineer, and has been working at Google for over 6 months.
Tia shared, “I was a stay-at-home mom when I started to learn Machine Learning at Google Bangkit Academy back in 2020. Bangkit supported us to take TF Certification and with this certificate, I was able to get back to work after years of hiatus. My current role is Machine Learning Curriculum Developer in Dicoding, an online technology education platform in Indonesia.”
Check out the short video below to hear Tia’s story.
Are you interested in earning the TensorFlow Developer Certificate? Learn more about the TensorFlow Developer Certificate on our website, including information on exam criteria, exam cost, and a stipend application to ensure taking this certificate exam is accessible, regardless of income.
If you’ve taken the exam and have feedback or would like to share your story, we would love to hear from you!
We look forward to growing this community of TensorFlow Developer Certificate recipients, and are immensely thankful to the continued contributions of our open source community!
Note: Participating in the program and/or obtaining this certificate are not endorsements of a participant’s employability nor guarantee of future work performance.