TensorFlow is an open-source machine learning platform with a huge community that connects developers from all over the world.

The community includes a discussion forum where you can find developers from all over the world who are using TensorFlow for their projects. Members use the forum to ask questions, bounce off ideas with others, and share knowledge with each other.

Additionally, you can join one of the many user groups TensorFlow has all over the world. Indeed, there are local groups in over 40 different countries. These groups organize their own events, which sometimes are virtual but mostly in-person. TensorFlow user groups allow you to grow as a developer while connecting with other local professionals.

On the other hand, TensorFlow offers lots of resources for its users. There are tools, datasets, models, libraries, and extensions for you to explore. Moreover, there are also learning paths and curriculums to learn topics such as artificial intelligence or machine learning. Lastly, you can also take an exam to get the TensorFlow Developer Certificate, which will prove you are proficient in machine learning.

YouTube video


  • Membership: Free Community
  • Year Founded: 2015
  • Founders:

    Rajat Monga

  • Amount of members: 5,600
  • Online Group: Yes
  • Job board: No
  • Language: English
  • Method: In Person, Virtual


Connect with other TensorFlow users:
TensorFlow's online forum allows you to connect with thousands of TensorFlow users worldwide. Members use the forum to ask questions, bounce off ideas with others, and share knowledge.

Leverage the community's resources:
TensorFlow offers its users a lot of resources, such as datasets, models, libraries, extensions, tools, and learning paths to learning about responsible AI and machine learning. Additionally, you can certificate as a TensorFlow developer!

Find developers in your area:
The community has user groups in over 40 countries all across the world. You can join the nearest group to meet other developers in your area and participate in meetups and other learning events.



No requirements.



    • Egypt
    • Ivory Coast
    • Kenya
    • Morocco
    • Nigeria
    • Tunisia
    • Ghana
    • Tanzania
    • Argentina
    • Brazil
    • Chile
    • Peru
    • Colombia
    • Guatemala
    • United States
    • Australia
    • Bahrain
    • Bangladesh
    • China
    • India
    • Indonesia
    • Japan
    • Pakistan
    • Korea
    • Malaysia
    • Nepal
    • Philippines
    • Saudi Arabia
    • Singapore
    • Sri Lanka
    • Taipei
    • Vietnam
    • Azerbaijan
    • Belgium
    • Denmark
    • France
    • Germany
    • Poland
    • Russia
    • Sweden
    • Turkey
    • United Kingdom

Learning Events

TensorFlow has user groups in over 40 different countries across the world. You can join a group near you to find out what they are up to. These groups usually organize learning events such as talks with industry experts, workshops, or webinars. All events are free, and you can participate in both virtual and in-person events.

Networking Events

Members of TensorFlow communicate through the community's online forum. Inside, you will find discussions organized by categories and tags. Categories include:

  • Announcements
  • General Discussion
  • Show and Tell
  • Special Interest Groups
  • Events
  • Research & Models
  • Site Feedback
  • Uncategorized

Overall, the forum is a great place to find other TensorFlow users, ask questions, and receive useful advice and feedback. Additionally, some user groups from specific countries have additional online groups to connect with local TensorFlow users.

Content Library

TensorFlow offers many resources for the platform's users. On the one hand, you can leverage a library of models and datasets, along with useful tools to support and accelerate TensorFlow workflows. On the other hand, you can also explore libraries and extensions to build advanced models or methods with TensorFlow.

Additionally, there is an ML learning path that focuses on the four core aspects of machine learning: coding, math, theory, and how to build your project from start to finish. It includes three curriculums for diverse experience levels, that contain not only recommended courses and books but also videos and guides.

Moreover, you can find a whole section to learn Responsible AI. It includes tools, step-by-step processes, tutorials, and community resources. Lastly, make sure to check out TensorFlow's Github for repositories and projects.


You can get the TensorFlow Developer Certificate to boost your career as a developer. This certificate allows you to demonstrate your proficiency in using TensorFlow to solve deep learning and ML problems. Keep in mind that the exam costs $100.

Add a review


  • No comments yet.