The Definitive guide

Google Certified TensorFlow Developer — Learning Plan, Tips, FAQs & my Journey

How I passed the Tensorflow Developer Certificate Exam

On March 12, this year, the Tensorflow team introduced the Tensorflow Developer Certificate Exam. Cut to June 13, I am Tensorflow Developer Certified. What happened in this 3-month long gap?

2 months later, after honoring all my business and personal commitments, I managed to take out 1 month to prepare for the exam. After studying all the details of the exam, I created a learning plan to get myself exam-ready in 14 days*.

That’s all cool but what is Tensorflow?

The gist: Tensorflow is an end-to-end open-source machine learning platform. It has a comprehensive ecosystem of libraries, tools, and community resources that lets ML/AI Engineers, Scientists/Analysts build and deploy ML-powered applications.

Google, Airbnb, DeepMind, intel, Twitter, and many others are currently powered by Tensorflow to solve a wide gamut of problems.

Now, I am not a preacher of certifications but since I was already using and following tensorflow so closely, as a Data Science Enthusiast, so it got my attention.

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?

• The certificate is an official validation confirming your proficiency over Tensorflow with respect to solving deep learning and ML problems in the AI-driven job market.
• 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.

Oh, snap! Not another Certification Program…😓

Why should you take the exam?

• Firstly, 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. This would require you to code and…