10 Best TensorFlow Training Programs With Online Certification

Best TensorFlow Training Programs

TensorFlow is one of the most highly demanded and prevalent open-source deep learning frameworks in the present day and time. It is the tool used by some of the most dominant companies worldwide, such as eBay, Airbnb, Snapchat, Intel, Dropbox, Twitter, SAP, IBM, Qualcomm, Uber, and Google.


Given the surging popularity of TensorFlow, you need to educate yourself on the subject. For this, you need thorough TensorFlow training. Understanding the complexities of the course, we have come up with a list of some of the best TensorFlow courses online. You can browse through these TensorFlow training programs and then make a selection of the course that best fits your needs. So, let us get started and address the best TensorFlow courses one by one.


Table of Contents


Top 10 TensorFlow Courses and Training Programs


1. DeepLearning.AI TensorFlow Developer Professional Certificate – Offered by DeepLearning.Ai [Coursera]

DeepLearning.AI TensorFlow Developer Professional Certificate

Why is this the best TensorFlow tutorial?

Ranked at the top of our list is this Coursera TensorFlow certification course is 100% online with a flexible deadline. It is one of the best TensorFlow courses, with a rating of 4.7. About 118,027 students have already enrolled for this course.


As a part of this DeepLearning.AI TensorFlow certification program, you will learn to apply machine learning skills with this platform. Using TensorFlow, you can train and build powerful models. Upon availing this, best TensorFlow tutorial, you will understand all the vital tools that will enable you to develop AI-powered applications using TensorFlow.


Once you are done with this program, you will be in a position to apply TensorFlow skills to an array of projects and problems. Furthermore, with this program, you can prepare for the Google TensorFlow Certificate exam.


As part of this tutorial, you will get hands-on experience via the 16 Python programming assignments. So, once you are done with the TensorFlow online training program, you will be able to train and build neural networks via TensorFlow. This TensorFlow tutorial also teaches you to analyze, understand, and respond to human speech using natural language processing systems. Lastly, you can represent sentences as vectors, process text, and finally train a model to build original poetry through this course.


What will you learn?

In this TensorFlow tutorial, there are a bunch of things for you to learn:


  1. Best TensorFlow practices, a prevalent open-source machine learning framework to equip a neural network for computer vision applications
  2. Develop natural language processing systems
  3. Handle real-world image data.
  4. Use GRUs, RNNs, and LSTMs as you train them with text repositories
  5. Explore and handle strategies to avoid overfitting, including the dropout and augmentation


The learner career outcomes of this TensorFlow certification course have been praise-worthy. After completing this TensorFlow tutorial, 23% of students could start a new career. Further, this TensorFlow online training will present you with a shareable certificate upon successful completion.


Who do you need?

This is an intermediate-level course. So, for taking this best TensorFlow tutorial, some related experience is required. Further, to take this TensorFlow certification course, you need approximately four months. So, for this course, the suggested pace is five hours a week. The course is in the English language, but you can find the subtitles in English, Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, Turkish, Spanish, Japanese, and Korean.

Reviews by Sandra O:

Coursera’s rigorous assignments and broad range of subjects encourage me to keep up with my courses. The quality of the teachers keeps me coming back.



2. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning – Offered by DeepLearning.AI [Coursera]

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

What is this one of the best TensorFlow tutorials online?

At number two on our best TensorFlow course list is again a Coursera course with a rating of 4.7. This course has been enrolled by 249,476 students already. If you are a software developer who aspires to build AI-powered algorithms, you should understand how to use the tools to develop them.


This best TensorFlow tutorial is a part of the upcoming Machine Learning in Tensorflow Specialization. Through this TensorFlow tutorial, you can learn some of the best practices to use TensorFlow, a prevalent open-source machine learning framework.


This TensorFlow online training is a machine learning course, which provides you with deep learning specialization. Your instructor for this course is Andrew Ng. This course will teach you the most foundational and vital principles of Machine Learning and Deep Learning.


Through this new deeplearning.ai TensorFlow Specialization, you will learn to use TensorFlow to implement those principles. So, the course helps you build and apply scalable models to real-life issues. To create an in-depth understanding of the working of neural networks, we recommend you take the Deep Learning Specialization.


What will you learn?

As part of this TensorFlow tutorial, you will learn an array of things. Some of them include:


  1. Best practices to use TensorFlow, a prevalent open-source machine learning framework
  2. Training a neural network for a computer vision application
  3. Building a primary neural network in TensorFlow
  4. Understanding how to employ convolutions to improve your neural network


Learner career outcomes

After completing this TensorFlow training program:


  1. 23 percent of students started a new career after completing these courses
  2. 27% percent of students received a tangible career benefit from this course


This course comes with a shareable certificate. So, after you complete this TensorFlow certification course, you will be awarded a shareable certificate. The course is 100% online. So, you can take it at your flexibility and schedule. You can even reset the deadlines as per your schedule.


What do you need?

This TensorFlow online learning program is part 1 of 4 in the DeepLearning.AI TensorFlow Developer. More so, this is an intermediate-level course. So, to take this TensorFlow certification course, you need to have experience in Python coding and high school-level math.


The course takes about thirty hours to complete. It is available in English, and you get the subtitles in Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, Turkish, English, Spanish, and Japanese.

Reviews by JA:

Very well organized. Good speakers. Content is comprehensive for a Introductory Course. A little more explanation on Validation versus Testing and on some of the evaluation functions would be helpful.



3. Deep Learning Specialization – Offered by DeepLearning.Ai [Coursera]

Deep Learning Specialization

What is this course about?

The next TensorFlow online course on our list is again a Coursera course. Furthermore, with a rating of 4.9, it had to be there in our preferred TensorFlow certification list.


This TensorFlow online learning deep specialization program is a foundational program, which can help you understand the challenges, capabilities, and consequences of deep learning. In addition, the course will prepare you to participate in the development of leading-edge AI technology.


As part of this specialization, you can train and build neural network architectures, such as Recurrent Neural Networks, Convolutional Neural Networks, Transformers, and LSTMs. Further, the TensorFlow certification course will help you better understand concepts, such as BatchNorm, Dropout, Xavier/He initialization, and others.


So, with this TensorFlow online course, you can get ready to get better equipped with theoretical concepts, along with their industry applications via TensorFlow and Python. It also helps you tackle real-world cases, such as music synthesis, speech recognition, natural language processing, machine translation, chatbots, and more.


After completing this TensorFlow online course, you will be awarded a shareable certificate. It is a 100% online course. So, you can start and learn at your schedule.


What will you learn?

After taking this TensorFlow certification course, you will learn to:


  1. Build and train deep neural networks.
  2. Implement vectorized neural networks
  3. Identify key architecture parameters
  4. Employing deep learning in applications
  5. Analyze variance for DL applications
  6. Train test sets
  7. Build neural networks in TensorFlow
  8. Use standard techniques and optimization algorithms
  9. Build and train RNNs
  10. Build a CNN and apply it to detection and recognition tasks
  11. Apply algorithms to video and image data
  12. Use HuggingFace tokenizers and transformer models for performing Question Answering and NER
  13. Use neural style transfer to generate art
  14. Work with NLP and Word Embeddings


Learner career outcomes

After completing this TensorFlow tutorial:


  1. Thirty-eight percent of students could start a new career.
  2. Fourteen percent of students received a promotion or pay increase.


What do you need?

This is an intermediate-level TensorFlow certification course. So, to take this course, you need intermediate Python skills – basic programming, if/else statements, understanding of loops, and data structures.


Further, the course also requires a fundamental grasp of linear algebra & ML. This TensorFlow online learning course requires about five months to complete, and you need to put in seven hours of effort every week.


The course is available in the English language, but you can find the subtitles in English, Chinese (Traditional), Arabic, French, Ukrainian, Portuguese (European), Chinese (Simplified), Italian, Portuguese (Brazilian), Vietnamese, Korean, German, Russian, Turkish, Spanish, and Japanese.

Reviews by Tri S.:

Coursera has been invaluable for my businesses and my personal development. The courses helped me improve my day-to-day problem solving.



4. Machine Learning with TensorFlow on Google Cloud Platform Specialization – Offered by Google Cloud [Coursera]

Machine Learning with TensorFlow on Google Cloud Platform Specialization

What Is This Course About?

At number fourth on our TensorFlow courses list is again a Coursera course. The course has a rating of 4.6 and has been availed by about 76,938 students.


This TensorFlow course will help you understand the right way to write distributed machine learning models, which scale in Tensorflow. The course will help you learn how to write models that scale in TensorFlow and scale-out those models’ training outcomes. It provides top-performance predictions thereon.


With this TensorFlow tutorial, you will learn to convert raw data to features.


Lastly, this course will help you incorporate an adequate mix of parameters. The instructor will also take you through end-to-end ML, starting from building an ML-focused strategy and then moving ahead into optimization, model training, productionalization. All of this happens with hands-on labs using Google Cloud Platform.


What will you learn?

With this best TensorFlow tutorial, you will learn to:


  1. Learn greater application of machine learning
  2. Learn about business use case
  3. Convert a candidate use case to be utilized by mchine learning
  4. Understand the biases created by machine learning


Learner career outcomes

After completing this TensorFlow training program:


  1. 40% of learners started a new career
  2. 23% of learners received a promotion or a pay increase


After completing this TensorFlow course, learners will bag a shareable certificate. This is a 100% online course. So, you can start and finish at your schedule with flexibility.


What do you need before this TensorFlow training?

It is an intermediate-level TensorFlow tutorial. So, some experience is needed. The course requires approximately five months for completion. You will have to dedicate five hours every week to complete the course. The course is in English, but you can find subtitles in English, French, Portuguese (European), Russian, and Spanish.

Reviews by Dariya K.:

These courses, from leading institutions all over the world, are only accessible to me through Coursera. I learn something new and fascinating every day.



5. Complete Guide to TensorFlow for Deep Learning with Python – Udemy

Complete Guide to TensorFlow for Deep Learning with Python

What is this course about?

The next TensorFlow online learning on our list is a Udemy course with a rating of 4.5. In this TensorFlow tutorial by Udemy, you will learn the correct way to employ Google’s TensorFlow framework to develop artificial neural networks to push deep learning. The course aspires to provide you with the knowledge and understanding of the complexities of Google’s TensorFlow framework in a manner, which is easy to comprehend.


Most courses you find on the internet tend to steer clear from TensorFlow and instead use abstractions, which provide limited control to the user. In this Udemy TensorFlow certification course, the instructor will give you a thorough guide to use the TensorFlow framework as intended while simultaneously presenting the latest techniques found in deep learning.


This TensorFlow course has been designed to balance practical and theoretical implementation with complete jupyter notebook guides of code, along with easy-to-reference notes and slides. Further, there are also an array of exercises, which can assess your skills along the way.

So, get started, and enroll yourself in this TensorFlow tutorial.


What will you learn?

This tutorial has a bunch of things for you to learn. These include:


  1. Understanding how Neural Networks Work
  2. Using TensorFlow for Regression Tasks and Classification
  3. Using TensorFlow for Image Classification with Convolutional Neural Networks
  4. Building your Neural Network from Scratch using Python
  5. Becoming a Deep Learning Guru
  6. Creating a Generative Adversarial Networks with TensorFlow
  7. Learning the right way to conduct Reinforcement Learning with OpenAI Gym
  8. Using TensorFlow to solve Unsupervised Learning Problems with AutoEncoders
  9. Using TensorFlow for Time Series Analysis with Recurrent Neural Networks


What do you need?

For this TensorFlow training, there are a few prerequisites. These include:


  1. Basic math knowledge – standard deviation, mean, etc.
  2. Some basic programming knowledge, mainly Python.


Topics covered in this TensorFlow training program

This TensorFlow tutorial covers:

  1. TensorFlow Basics
  2. Artificial Neural Networks
  3. Reinforcement Learning
  4. Neural Network Basics
  5. AutoEncoders
  6. Convolutional Neural Networks
  7. Densely Connected Networks
  8. Recurrent Neural Networks
  9. OpenAI Gym
  10. and much more!


Who should take this course?

This TensorFlow online training program is for Python students who wish to equip themselves with the latest Deep Learning Techniques with TensorFlow.

Reviews by Hans Palacios:

Overall, great overview and examples to work with! The lessons are explained at a good pace and in enough detail to successfully complete each of the projects. There were some variations needed along the way to adapt the use of TensorFlow, but with some quick searches in Stack Overflow, they were all resolved without issue for me. I’m looking forward to continuing learning from Jose through his other courses, particularly the one delving into TensorFlow 2. Keep up the great work!



6. Deep Learning with Tensorflow – Offered by IBM [edX]

Deep Learning with Tensorflow

What is this course about?

The traditional neural networks are composed of a single input and output layer and depend on shallow nets. However, deep-learning networks are different from ordinary neural networks. Typically, they have greater hidden layers or rather a depth.


TensorFlow is a software directory for numerical computation of math expressional with data flow graphs. The nodes represent the mathematical operations in the graphs, whereas the edges represent the multi-dimensional data tensors, which flow amidst them.


As a part of this TensorFlow online course, you will grasp the basic TensorFlow concepts, operations, functions, and the execution pipeline. Further, the instructor will take you into exploring the Deep Learning world. You will also learn to apply TensorFlow for backpropagation and tune the biases and weights while Neural Networks are being trained.


What you’ll learn through this TensorFlow training?

Some of the things that you will learn in this TensorFlow tutorial include:

  1. Foundational TensorFlow concepts including execution pipelines, operations, and the main functions.
  2. Describing how TensorFlow is employed in regression, minimization, classification, and curve fitting of error functions.
  3. Understanding different kinds of Deep Architectures, such as Autoencoders, Recurrent Networks, and Convolutional Networks.
  4. Application of TensorFlow for backpropagation to tune the biases and weights while the Neural Networks are being trained.



7. TensorFlow tutorial – LinkedIn Learning

TensorFlow tutorial

What Is This TensorFlow Course About?

If you trust LinkedIn to enroll in a TensorFlow online course, there are eight key TensorFlow online learning courses available on the platform. You need to understand that each TensorFlow training program covers several different aspects of Deep Learning and TensorFlow. Therefore, there is no one TensorFlow training program, which fits it all. Of these eight courses, we will recommend the five best TensorFlow courses that caught our eye and should cater to your interest.


a. Building and Deploying Deep Learning Applications with TensorFlow


This best TensorFlow tutorial spans over one hour and forty-six minutes. It is an intermediate-level TensorFlow tutorial, which will teach you the right way to construct a simple deep learning model. Also, you would leverage visualization tools and better your model. Lastly, the instructor will also teach you the right way to deploy models locally or in the cloud. Some key topics include:


  • Using a trained TensorFlow
  • TensorBoard
  • Creating a TensorFlow Model
  • Training a model in TensorFlow


b. Accelerating TensorFlow with the Google Machine Learning Engine

This is a three-hour and five-minute TensorFlow tutorial. It is an intermediate-level TensorFlow course, wherein you can try and build some high-performing machine learning applications by leveraging TensorFlow.


Through this course, you won’t just be exploring the process of developing TensorFlow applications and operating them on the Google Cloud Machine Learning Engine. Beginning with basic sessions, graphs, training, and variables, you will also be covering the iterators, datasets, and estimators, which happen to be some of the most top-level features. Some of the significant aspects of this course include:


  • Machine Learning With Estimators
  • Training TensorFlow Applications
  • Fundamentals of TensorFlow Development
  • Accessing Data With Datasets


c. Learning TensorFlow with JavaScript

The third TensorFlow training program by LinkedIn requires about 57-minutes for completion. This course will teach you some ML basics. This TensorFlow training will also take you through model training and generating live results. As you move forward, you will be working on different models, tensor types, variables, and models. Some key concepts covered include:


  • TensorFlow Basics
  • Using Python-based model in JS
  • Exploration Of A Full Project
  • Initial project creation with TensorFlow


d. Building Recommender Systems with Machine Learning and AI

It is a detailed TensorFlow course, which needs nine hours and four minutes to complete. Both beginners and intermediate-level students will find this TensorFlow training helpful.


In this TensorFlow training, you will be covering the recommendation algorithms based on neighborhood-based collaborative filtering. Further, the instructor will also take you through complicated topics, such as matrix factorization. Some of the main topics included are:


  • Deep Learning
  • Recommender Engine Framework
  • Hybrid Recommenders
  • Content-Based Filtering


e. Building Deep Learning Applications with Keras 2.0

Last we have an intermediate level TensorFlow online course. The course takes about one-hour and twenty-four minutes to complete and will cover the prevalent Keras programming framework. Lastly, you will also learn to build a simple deep learning model and use pre-trained deep learning models included in Keras.


The topics covered include:


  • Setting Up Keras
  • Creating A Neural Network In Keras
  • Monitoring a Keras Model With TensorBoard
  • Trained Keras Model In Google Cloud



8. Intro to TensorFlow for Deep Learning – Offered by TensorFlow [Udacity]

Intro to TensorFlow for Deep Learning

About this TensorFlow training

This TensorFlow training is an intermediate level course offered by TensorFlow and follows a practical approach to Deep Learning. It is a part of the Become a Machine Learning Engineer NanoDegree Program and takes about 2 months to complete. It is a free course and the focus of this TensorFlow course lies in educating you the right way to build deep learning applications.


Overall, it is an excellent resource that provides you with some hands-on experience. You will be using TensorFlow models in different platforms, such as browsers, in the cloud, and mobile devices.


Some topics included in this TensorFlow training program are:


  1. Introduction to Machine Learning
  2. Introduction to Convolutional Neural Networks (“CNN’s”)
  3. Transfer Learning
  4. Saving and Loading Models
  5. Introduction to TensorFlow Lite
  6. Time Series Forecasting


This TensorFlow training program requires you to have a strong command over beginning Python syntax, and its classes, functions, variables, and object-oriented programming, in addition to some introductory algebra, which helps you get the most from your TensorFlow training.



9. Deep Learning with TensorFlow 2.0 [2020] [Udemy]

Deep Learning with TensorFlow 2.0

About the course

The next TensorFlow training on our list is the 6-hour course. It comes with twenty downloadable resources and helps you build deep learning algorithms with TensorFlow 2.0. Further, the course enables you to understand neural networks and apply what you have learned to a real-world business case.


This TensorFlow course follows a detailed approach and provides you with a real-world practice about using Deep Learning to optimize business performance.


From solving and discussing real-world problems to understanding the mathematics behind the algorithms that make the theory, this TensorFlow certification can enable you to know what you are doing and why you are doing, instead of just mugging up the concepts.


In this TensorFlow training program, you will build your algorithms. Further, upon completion, the course will fetch you a certificate of completion. This can be a good value addition to your resume.


What do you need?

To take this TensorFlow training program, you have to have some basic Python programming skills.


What will you learn?

Some concepts that you will learn in this TensorFlow course are:

  1. Underfitting And Overfitting – Classification
  2. Normalization and One-Hot Encoding
  3. Deep Learning Algorithms from Scratch
  4. Testing, Early Stopping, and Initialization
  5. Adaptive Moment Estimation
  6. Learning Rate Schedules


Reviews by Ovidiu Negrila:

Information is provided in very concise and meaningful way. Visualisations really helps in understanding the concepts and the abstractions of Keras and TF syntax logic.



10. Detect Fraud and Predict the Stock Market with TensorFlow [Udemy]

Detect Fraud and Predict the Stock Market with TensorFlow

About the course

The last TensorFlow training program on our list is a 7-hour course, which can assist you design a credit card fraud detection model. Further, with this TensorFlow training, you will also be in a position to detect any stock market changes.


As part of this TensorFlow training, you will learn to code in Python and assess linear regression. Your instructor for this TensorFlow training begins the program by making you comfortable with the interface. This is something that most course providers tend to miss.


Further, this TensorFlow course also has a bonus section called the ‘How To Master Anything.’ Thus, upon completing this webinar, you will be familiar with university-level math as well.


This is a comprehensive TensorFlow training program and will fetch you a certificate of completion once you are through with the course.


What do you need?

To take this TensorFlow training, you are required to possess some past coding experience.


What will you learn?

Some things that this TensorFlow training program will teach you are:


  1. Control Flow
  2. Building Functions to Connect Graph
  3. Building Linear Regression
  4. Multivalue Variables
  5. Training a Model
  6. Constant and Operation Nodes


Reviews by Greg Cimmarrusti:

I really appreciate the instruction. The instructor is well paced and the material is spot on.




So, these, according to us, are the top 10 TensorFlow training programs. After thorough research and discussion with 18 renowned TensorFlow experts worldwide, we have chosen these TensorFlow online learning courses.

So, you can start your learning journey now. If training in SAP HANA is what you need, do go through these best SAP HANA courses here.


Best TensorFlow Training Programs With Online Certification Reviewed by 10 TensorFlow Experts 4.6