Home Collections 17 Best + Free TensorFlow Courses & Training Programs

17 Best + Free TensorFlow Courses & Training Programs

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What is TensorFlow?

TensorFlow is known to be an end-to-end open source platform for machine learning. It is what we call a comprehensive and flexible ecosystem of tools, libraries, and community resources which allow researchers to push the state-of-the-art in Machine Learning. With that, it enables developers to build and deploy Machine Learning powered applications easily.

Applications of TensorFlow in the Industry:

TensorFlow offers mind-blowing applications like;

  • Image recognition, used by mobile companies, social media, and other platforms.
  • Voice recognition systems for security systems, mobile companies, and search engines.
  • Motion detection that is widely used for airport checks, movement detection, and gaming control.

To understand more about TensorFlow in detail, our team at takethiscourse.net has compiled a list of the best and free TensorFlow Courses & Training Programs.

# Course Name University/Organization Ratings Duration
1. Intro to TensorFlow for Deep Learning – TensorFlow TensorFlow 02 Months
2. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning DeepLearning.AI ★★★★★ 4.7 (17,391 Reviews) 18 Hours
3. Introduction to TensorFlow in Python datacamp 04 Hours
4. DeepLearning.AI TensorFlow Developer Professional Certificate DeepLearning.AI ★★★★★4.7 (18,780 Reviews) 80 Hours
5. Deep Learning with Tensorflow – IBM IBM 80 Hours
6. Getting Started with Tensorflow 2.0 Course Pluralsight ★★★★★4.5 (53 Reviews)
7. Build, Train, and Deploy Your First Neural Network with TensorFlow 2 Pluralsight ★★★★★4.5 (56 Reviews) 8.5 Hours
8. Intro to Machine Learning with TensorFlow – Nanodegree Program Aws 120 Hours
9. Modern Deep Learning Techniques using TensorFlow Training Learning Tree 02 Days
10. Introduction to TensorFlow in R Class datacamp 04 Hours
11. Free TensorFlow Courses & Classes LinkedIn Learning
12. TensorFlow 2 for Deep Learning Specialization – Imperial College London Imperial College London ★★★★★4.8 (459 Reviews) 112 Hours
13. Google AI for JavaScript developers with TensorFlow.js – Google Google 112 Hours
14. TensorFlow Developer Certificate in 2022: Zero to Mastery Udemy ★★★★★4.7 (4,380 Reviews) 63 Hours
15. Applied Machine Learning: Industry Case Study with TensorFlow educative 03 Hours
16. Best TensorFlow Courses Online Udemy
17. TensorFlow: Advanced Techniques Specialization DeepLearning.AI ★★★★★4.8 (961 Reviews) 140 Hours
In order to help our readers in taking a knowledgeable learning decision, TakeThisCourse.net has introduced a metric to measure the effectiveness of an online course. Learn more about how we measure an online course effectiveness.

Best TensorFlow Courses & Training Programs

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Intro to TensorFlow for Deep Learning – TensorFlow

      • TensorFlow via Udacity
      • 02 months of effort required!
      • Study Level: Intermediate

Intro to TensorFlow for Deep Learning

In this Intermediate level course, you will learn to build deep learning applications with TensorFlow.

  • The reason why we chose this course is its focus on providing learners with hands-on experience building their state-of-the-art image classifiers and other deep learning models.
  • This course is for all the software developers out there and those who wish to develop the skills required for creating their own AI applications. You might also be interested in best Deep Learning classes at takethiscourse platform.

Coursera Plus Courses

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Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

      • DeepLearning.AI via Coursera
      • 299,472+ already enrolled!
      • ★★★★★ (17,391 Ratings)

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Good
★★★★☆

This intermediate-level course is all about explaining the best practices required for using TensorFlow and understanding how to build a basic neural network in TensorFlow.

  • The best thing about this course is its focus on explaining how to train a neural network for a computer vision application.
  • This course is for those who wish to understand how to use convolutions to improve their neural network and other relevant skills.
This is a great course for those who wish to understand the convolutional neural networks in Keras for building image classifiers. I believe this course is the best way to get started into deep learning for computer vision. (Rishi, ★★★★★)

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Introduction to TensorFlow in Python

      • Isaiah Hull via datacamp
      • 34,921+ already enrolled!
      • 04 hours of effort required!

Introduction to TensorFlow in Python

This course allows you to learn the fundamentals of neural networks and how you can build deep learning models using TensorFlow.

  • The best thing about this course is its focus on explaining the high-level APIs which allows you to design and train deep learning models in 15 lines of code.
  • This course is for those who wish to learn to predict housing prices, images of sign language gestures and so much more like a pro.

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DeepLearning.AI TensorFlow Developer Professional Certificate

      • DeepLearning.AI via Coursera
      • 150,776+ already enrolled!
      • ★★★★★ (18,780 Ratings)

DeepLearning.AI TensorFlow Developer Professional Certificate

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Fair
★★★☆☆

This is an intermediate-level specialization where you will be taught the best practices for TensorFlow and handle real-world image data.

  • The reason why we chose this specialization is its focus on explaining how to build natural language processing systems using TensorFlow.
  • This specialization is for those who wish to understand how to apply RNNs, GRUs, and LSTMs as you train them using text repositories.
I believe this specialization is very engaging and hats off to Laurence Moroney for his endless efforts. All the four courses cover pretty much everything about TensorFlow and I think completing this specialization can help you get somewhere. (Anonymous Learner, ★★★★★)

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Deep Learning with Tensorflow – IBM

      • IBM via edX
      • 46,078+ already enrolled!
      • 05 weeks (2-4 hr/week) of effort required!

Deep Learning with Tensorflow

In this course, you will understand the foundational TensorFlow concepts including the main functions, operations, and execution pipelines.

  • The reason why we chose this course is its focus on explaining how TensorFlow can be used in curve fitting, classification, regression, and minimization of error functions.
  • This course is for those who wish to understand the different types of deep architectures like autoencoders and recurrent networks.

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Getting Started with Tensorflow 2.0 Course

      • Janani Ravi via Pluralsight
      • 03 hours of effort required!
      • Study Level: Beginner

Getting Started with Tensorflow 2.0

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Good
★★★★☆
Good
★★★★☆
Fair
★★★☆☆
Fair
★★★☆☆

This course will help you explore the basic features of TensorFlow 2.0 in the best possible manner. Here you will understand how the programming model differs from TensorFlow 1. x versions.

  • The best thing about this course is its focus on comparing and contrasting static and dynamic computation graphs and understanding the different advantages and disadvantages of working with each graph.
  • This course is for those who wish to learn how a neural network is trained using gradient descent optimization.

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Build, Train, and Deploy Your First Neural Network with TensorFlow 2

      • Jerry Kurata via Pluralsight
      • 03 hours of effort required!
      • Study Level: Beginner

Build, Train, and Deploy Your First Neural Network with TensorFlow 2

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Good
★★★★☆
Good
★★★★☆
Fair
★★★☆☆
Fair
★★★☆☆

This engaging class is all about explaining the foundational knowledge required to create your own neural network.

  • The reason why we chose this class is its focus on explaining the basic principles of how machine learning allows us to create models that learn from data.
  • This class is for those who wish to understand how to improve the performance of neural networks using built-in tools like TensorBoard.

Related: Best Applied Machine Learning Courses

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Intro to Machine Learning with TensorFlow – Nanodegree Program

      • Aws via Udacity
      • 03 months (10 hrs/week) of effort required!
      • ★★★★★ (504 Ratings)

Intro to Machine Learning with TensorFlow

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Good
★★★★☆
Good
★★★★☆
Fair
★★★☆☆
Fair
★★★☆☆

This program is all about explaining the foundational machine learning algorithms in detail.

  • The reason why we chose this program is its focus on explaining all about data cleaning, supervised models, and then exploring deep and unsupervised learning.
  • This program is for those who have experience in Python and are ready to learn all about Machine Learning.
This nanodegree program turned out to be very interesting. The instructors were able to deliver everything in an engaging manner. The program for sure has taught me so much about machine learning, TensorFlow, and many other things. (Luke H, ★★★★★)

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Modern Deep Learning Techniques using TensorFlow Training

      • via Learning Tree
      • 02 days of effort required!
      • Study Level: Foundation

Modern Deep Learning Techniques using TensorFlow Training

This TensorFlow deep learning course explains how you can gain the skills required to leverage TensorFlow and solve all your real-life deep learning problems.

  • The reason why we chose this course is its focus on explaining how to use TensorFlow’s sequential and functional API in detail.
  • This course is for those who wish to not only understand the basics of deep learning but all about constants, variables, and tensors as well.

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Introduction to TensorFlow in R Class

      • Colleen Bobbie via datacamp
      • 4,083+ already enrolled!
      • 04 hours of effort required!

Introduction to TensorFlow in R

This “Introduction to TensorFlow in R” class will walk you through the basics of using TensorFlow in R. Here you will understand all about simple linear regressions and more complex deep learning neural networks in detail.

  • The best thing about this class is its focus on explaining not only the basics of TensorFlow but higher-level APIs like Keras and TRestimators as well.
  • This class is for those who wish to build a deep neural network to predict whether or not a banknote is forged and so much more about TensorFlow.

Related: Best R Programming Certification & Training Courses

Learn Most In-demand Skills

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Free TensorFlow Courses & Classes

Interested in learning all about TensorFlow and staying one step ahead of others? Well, this is your chance to get access to some of the best and free TensorFlow training courses and classes by LinkedIn Learning. Whether you want to learn to build and deploy deep learning applications with TensorFlow or just understand the TensorFlow foundations. Similarly, interested in learning TensorFlow with JavaScript or wish to build deep learning applications with Keras 2.0. Whatever you want to learn about TensorFlow, LinkedIn Learning has a course for you.

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TensorFlow 2 for Deep Learning Specialization – Imperial College London

      • Imperial College London via Coursera
      • 14,780+ already enrolled!
      • ★★★★★ (459 Ratings)

TensorFlow 2 for Deep Learning Specialization

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Fair
★★★☆☆

In this Intermediate level specialization, you will understand the fundamental concepts which are required to successfully build, train, and evaluate and then make predictions from deep learning models.

  • The reason why we chose this specialization is its focus on explaining how to validate your models and develop fully customized deep learning models.
  • This specialization is for those who wish to expand their knowledge of TensorFlow and all those machine learning practitioners and researchers who wish to gain practical skills in deep learning.
The courses were very easy to understand and had clear and direct instructions. I believe researchers or those interested TensorFlow should consider enrolling in this specialization. (Anonymous Learner, ★★★★★)

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Google AI for JavaScript developers with TensorFlow.js – Google

      • Google via edX
      • 6,676+ already enrolled!
      • 07 weeks (3-4 hr/week) of effort required!

Google AI for JavaScript developers with TensorFlow js

In this course, you will understand how machine learning works without formal mathematical definitions.

  • The best thing about this course is its focus on providing an overview of the TensorFlow.js library. You will understand different ways to consume or create machine learning models in detail.
  • This course is for those who wish to understand what tensors were in machine learning and how you can use tensors with machine learning models.

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TensorFlow Developer Certificate in 2022: Zero to Mastery

      • Andrei Neagoie via Udemy
      • 32,718+ already enrolled!
      • ★★★★★ (4,374 Ratings)

TensorFlow Developer Certificate in 2022

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Good
★★★★☆
Fair
★★★☆☆
Fair
★★★☆☆

Are you interested in passing the TensorFlow developer certification exam by Google or need to prepare for the exam? If yes, then this course is what you need.

  • The reason why we chose this course is its focus on explaining how to build all types of machine learning models using the latest TensorFlow 2.
  • This course is for those who wish to learn to build image recognition, object detection algorithms with deep neural networks and so much more in detail.
This course turned out to be a comprehensive one and has got me prepared for the TensorFlow developer certificate test from Google. I just want to thank Daniel and Andrei for their endless efforts. Hoping to pass the exam with good percentage. (Robert M, ★★★★☆)

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Applied Machine Learning: Industry Case Study with TensorFlow

      • via educative

This is the type of course where you will work on an industry-level machine learning project that is based on predicting weekly retail sales given different factors.

  • The best thing about this course is its focus on explaining the most efficient techniques which are used to train and evaluate scalable machine learning models.
  • This course is for those who wish to understand how to create efficient models and provide results and insights.
I believe the instructors of this course are the gold standard of crash-courses. The course has enough explanation in it which will give learners a thorough understanding of applied machine learning. (Carlos Matias)

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Best TensorFlow Courses Online

Want to deepen your knowledge of TensorFlow or interested in learning about TensorFlow from scratch? Udemy in this regard offers a wide range of Best TensorFlow Classes online which let you study at your own ease and pace and from the comfort of your home. Whether you want to understand all about deep learning and artificial intelligence or are interested in Keras. Similarly, want to understand all about the convolutional neural networks or whatnot, you can easily find a TensorFlow course at Udemy. So visit the site today and find the right course for yourself today.

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TensorFlow: Advanced Techniques Specialization

      • DeepLearning.AI via Coursera
      • 15,929+ already enrolled!
      • ★★★★★ (961 Ratings)

TensorFlow - Advanced Techniques Specialization

Online Course Effectiveness Score 
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Good
★★★★☆

This specialization is all about explaining the underlying basis of the Functional API and how you can build exotic non-sequential model types in detail.

  • The reason why we chose this specialization is its focus on explaining how to use GradientTape and autograph and optimize training in different environments with multiple processors and chip types.
  • This specialization is for those who wish to explore generative deep learning and how AIs can help us create new content.
This specialization has allowed me to understand the more advanced functionality of TensorFlow in a very interesting way. The four courses should be completed in a row to make the most out of this specialization. (Anonymous Learner, ★★★★★)

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Final Thoughts

Learning all about TensorFlow can be a little overwhelming but if you have access to the right learning content, then one’s learning experience can become better. The above list of best and free TensorFlow classes and courses is the best and most convenient way to help others understand what TensorFlow is. Therefore, enroll in any of the above courses today and never stop learning.