Posted by Alina Shinkarsky, on behalf of the TensorFlow Team

In the AI world today, more and more companies are looking to hire machine learning talent, and simultaneously, an increasing number of students and developers are looking for ways to gain and showcase their ML knowledge with formal recognition. In addition to the courses and learning resources available online, we want to help developers showcase their ML proficiency and help companies hire ML developers to solve challenging problems.
This is why we are excited to launch the TensorFlow Developer Certificate, which provides developers around the world the opportunity to showcase their skills in ML in an increasingly AI-driven global job market. This certificate in TensorFlow development is intended as a foundational certificate for students, developers, and data scientists who want to demonstrate practical machine learning skills through building and training of basic models using TensorFlow. This level one certificate exam tests a developer’s foundational knowledge of integrating machine learning into tools and applications. The certificate program requires an understanding of building basic TensorFlow models using Computer Vision, Sequence modeling, and Natural Language Processing.

Once you pass the exam, you will receive an official TensorFlow Developer Certificate and badge to showcase your skill set and share on your CV and social networks such as LinkedIn. You will also be invited to join our credential network for recruiters seeking entry-level TensorFlow developers. This is only the beginning; as this program scales, we are eager to add certificate programs for more advanced and specialized TensorFlow practitioners.

Learn more about the TensorFlow Developer Certificate on our website, including information on exam criteria, exam cost, and a stipend to ensure taking this certificate exam is accessible.

We look forward to growing this community of TensorFlow certificate recipients!