How to Become a Certified TensorFlow Developer?
If you are looking to enhance your career possibilities in Artificial Intelligence and Data Science you need to get recognised certification to back your skills.
One of the recognised certification that can boost your resume is TensorFlow Developer certification read this blog till the very end if you have the following query :
- How to apply for TensorFlow Developer Certification?
- What is the cost of this certification?
- How to prepare for this certification?
- How much time does it take to clear this certification?
If you are an active contributor to the Artificial Intelligence and Machine Learning or even if you are trying to enter into the Artificial Intelligence world and just a beginner, you must have heard or even used this great framework but for the rest,
TensorFlow is an end-to-end open-source machine learning platform for everyone, where you can preprocess data, model your data and even deploy your solutions to showcase your work to the world. Companies like Intel, DeepMind and Google use this to power all their machine learning services.
Why do you need Certifications?
Certification is not mandatory to land a good job in Artificial Intelligence domain, it’s more kind of proof to show the employer that you possess following skillsets which align with the company requirements. It is the skills and knowledge which is valued as that’s what is going to help you sustain and grow further in this field.
There are a plethora of certifications available but you have to be very smart choosing which one to pursue as all the certification are not everybody, there are certain requirements and sometimes monitory clause too to take some of the courses and certification. Investing the good amount of time on things you cannot get benefit from is painful hence select your path right to do research, find out whether that certification is relevant to your skillsets or not? Do you need this? Is it worth investing time and money on it?
TensorFlow Developer Certification is high valued and authentic, time on it are well invested. Now let’s take a look at what it is?
What is TensorFlow Developer Certification?
TensorFlow Developer Certification, as you might already have guessed is to showcase your skillsets and proficiency to use TensorFlow to build a range of deep learning models such as Natural Language Processing, Computer Vision (Image Processing ) and time-series forecasting. All of them are much needed to work in the industry and more and more companies are shifting towards Deep Learning solutions.
Is it for you?
It is a $100 question, literally. Before going for this certification you need to ask yourself this question and then if you find it useful go for it.
In general, this certification is for those who want to test and show their understanding of TensorFlow to develop Deep learning Models like Computer Vision, NLP, Time-series Forecasting.
Why do you should know TensorFlow?
According to Hacker News’s Who is hiring Page, Data TensorFlow was leading ahead of other frameworks in May 2020 wit margin and still leading.
According to KDnuggets.com(a website that shows trends in skill demand in job listings on different platforms ), the Deep Learning Framework which is growing fastest is TensorFlow followed by PyTorch.
How to prepare for TensorFlow Developer Certification?
First of all, you need to visit the certification website and review candidate handbook to know all the intricacies of the exam.
After reading candidate handbook you will be familiar with the test pattern. Now outline the topics you need to cover or revise if you are already familiar with them.
If you are not able to prepare your learning path then try below mentioned end-to-end learning path to prepare for the examination.
1.TensorFlow Developer Certification Candidate Handbook | free
Usefulness: 10/10
Relevancy: Extremely High
How to approach?
Try giving it a read without any pre thoughts and try to grasp as much as possible and use it as a guide to prepare for the test if you want a good result.
It covers all the queries about Eligibility, fees and payments, registration, Exam details etc.
2. DeepLearning.AI TensorFlow Developer Professional Certificate|₹3,641/m
Usefulness: 10/10
Relevancy: Extremely High
How to approach?
This Coursera’s course offered by deeplearning.ai is framed according to candidate handbook which you already have gone through. You can start with this immediately after completing the candidate handbook.
Skills you will gain after completing this course are TensorFlow, Machine learning, CNN, RNN, Computer Vision, NLP, Inductive Transfer, Augmentation, Time Series Forecasting.
Try writing all the codes from scratch for when doing practicals, this will help to adapt to exam scenario.
3. MIT 6.S191 Introduction to Deep Learning | free
Usefulness: 8/10
Relevancy: High
How to approach?
Try setting through first two lectures it will hardly take 1 hour each if you are reviewing each video too.
Must-Try Lab Codes and Project Proposals offered by them, it makes learning fun.
Stick to relevant topics and keep your goal fixed on the TensorFlow Developer Certification Exam.
4. Hands-On Machine Learning with Scikit-Learn, Keras and Tensor Flow|₹2,275
Usefulness: 6/10
Relevancy: Medium
How to approach?
Keep your focus clear and read at your speed, only second half of the book is relevant to the exam hence try stick to the chapters listed below if you are preparing for the sole purpose of clearing the certification exam.
- Chapter 10: Introduction to Artificial Neural Networks with Keras
- Chapter 11: Training Deep Neural Networks
- Chapter 12: Custom Models and Training with TensorFlow
- Chapter 13: Loading and Preprocessing Data with TensorFlow
- Chapter 14: Deep Computer Vision Using Convolutional Neural Networks
- Chapter 15: Processing Sequences Using RNNs and CNNs
- Chapter 16: Natural Language Processing with RNNs and Attention
5. Getting familiar with the PyCharm(a python development tool) | free
Usefulness: 10/10
Relevancy: Extremely High
How to approach?
Getting familiar with PyCharm is extremely important as the exam takes place in PyCharm. Getting started with PyCharm is an excellent series on YouTube where you can learn about PyCharm in no time.
What is the cost of taking this Exam?
Cost:$100
As already mentioned it takes $100/₹7360 to take this test if you clear it in the first attempt you will receive the confirmation through your email. In case you fail to clear the exam you have to wait around 2 weeks to retake the exam.
Tip: You can apply for TensorFlow Education Stipend to cut the cost of the exam by 50%.
Time Limit: 5 Hours
You get 5 hours to complete the coding and train the deep learning model in your local system and submit the results. (Make sure it is working in your computer )
Tip: It takes a maximum of 3 hours to complete the exam, utilises the time to make your model more effective.
