Online Community Study Circle | Google ML TensorFlow Developer Certification

GDG West Sweden
Sat, Aug 29, 2020, 5:00 PM (CEST)

About this event

Due to popular request, We have created a Certification Study Circle Slack Channel, feel free to join:

This is a community study circle program by GDG West Sweden, where participants will discuss and mutually agree upon to set study goals for a period of 2 weeks (Alternative Saturdays: 17:00 -18:00) till 20th June (as of now).

A self-study approach with the help of online course materials available at Google's learning platforms, MOOCs. In every two weeks, we will share our learning experience, clear doubts and educate each other!
Register in advance for this meeting:

After registering, you will receive a confirmation email containing information about joining the meeting.

TF Developer Certification:

TF Candidate Handbook:

TensorFlow Developer Certificate program overview
The goal of this certificate is to provide everyone in the world the opportunity to showcase their expertise 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 the building and training of models using TensorFlow.

The program consists of an assessment exam developed by the TensorFlow team. Developers who pass the exam can join our Certificate Network and display their certificate and badges on their resume, GitHub, and social media platforms including LinkedIn, making it easy to share their level of TensorFlow expertise with the world.

Who is the TensorFlow Certificate for?
This level one certificate exam tests a developers foundational knowledge of integrating machine learning into tools and applications. The certificate program requires an understanding of building TensorFlow models using Computer Vision, Convolutional Neural Networks, Natural Language Processing, and real-world image data and strategies.

In order to successfully take the exam, test takers should be comfortable with:

a) Foundational principles of ML and Deep Learning
b) Building ML models in TensorFlow
c) Building image recognition, object detection, text recognition algorithms with deep neural networks and convolutional neural networks
d) Using real-world images in different shapes and sizes to visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy
e) Exploring strategies to prevent overfitting, including augmentation and dropouts
f) Applying neural networks to solve natural language processing problems using TensorFlow

a) Learn something new. Increase your proficiency in machine learning, and test your abilities with the TensorFlow assessment exam.
b) Receive community recognition. Be recognized by others in the global TensorFlow community.
c) Showcase your skills. Share your certificate on your resume and social networking platforms like LinkedIn to be recognized as a top candidate for recruiters seeking entry-level TensorFlow developers.
d) Find TensorFlow talent. See who is a certificate holder in our Certificate Network, and find help for your machine learning tasks.

TF Certificate Network:

For more information, please reach out to / +46722023712