I believe the way they have structured the exam makes it worth trying, as it validates your skillsets and adds weight to your profile. Lastly, I feel that Google always provides value to its users/developers. So here is a trend from StackOverflow that shows how TensorFlow is being used by a huge number of users accounting for nearly 1 out of every 100 questions on the platform: Thirdly, you should keep monitoring the technology space in your field at least. I had some experience using TensorFlow but this came in as a challenge to work on problems that I hadn't actually solved myself. Secondly, how many times have you thought of mastering a new library or technique, and then abandoned your plans midway? If you're anything like me, 99% of the time.įor me, the certification worked as the destination for my learning journey.
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This will require you to code and solve a class of problems that you'll need to prepare for. Oh, snap! Not another Certification Program…? Why should you take the exam?įirstly, this is not like the certification where you watch a few 2–3 minute-long video lectures and take a quiz of multiple-choice questions and get yourself certified. If you’re someone who has got the skills to develop those Deep Neural Networks and solve problems with it, you can take the exam to differentiate yourself with the certificate. The certificate is an official validation confirming your proficiency with TensorFlow with respect to solving deep learning and ML problems in the AI-driven job market. It has been an amazing learning streak and I am here to share all the nitty-gritty details of what the program is, how I did it, and how you can do it too! What is this certificate program about? But since I was already using and following TensorFlow so closely as a Data Science Enthusiast it got my attention. Now, I am not a certification evangelist. Google, Airbnb, DeepMind, intel, Twitter, and many others are currently powered by TensorFlow and it helps them solve a wide gamut of problems. It has a comprehensive ecosystem of libraries, tools, and community resources that lets ML/AI Engineers, Scientists/Analysts build and deploy ML-powered applications. The gist: TensorFlow is an end-to-end open-source machine learning platform. That’s all cool – but what is TensorFlow? After studying all the details of the exam, I created a learning plan to get myself exam-ready in 14 days*. So what happened in this 3-month long gap?Īfter honoring all my business and personal commitments, I managed to take off one month to prepare for the exam. On March 12, this year, the TensorFlow team introduced the TensorFlow Developer Certificate Exam.Ĭut to June 13, and I am TensorFlow Developer Certified.
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