10 Best TensorFlow Training Programs With Online Certification

The professional certificate program by DeepLearning.AI offered via Coursera is the best to progress from simpler to complicated TensorFlow topics.

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 have thorough TensorFlow training to outshine the others. Understanding the complexities of the course, we have come up with a list of some of the best courses for TensorFlow based on what they teach, reviews, cost, and institution credibility.

 

10 Best TensorFlow Courses

  1. DeepLearning.AI TensorFlow Developer Professional Certificate – Offered by DeepLearning.Ai [Coursera]
  2. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning – Offered by DeepLearning.AI [Coursera]
  3. Deep Learning Specialization – Offered by DeepLearning.Ai [Coursera]
  4. Machine Learning with TensorFlow on Google Cloud Platform Specialization – Offered by Google Cloud [Coursera]
  5. Complete Guide to TensorFlow for Deep Learning with Python – Udemy
  6. Deep Learning with Tensorflow – Offered by IBM [edX]
  7. TensorFlow tutorial – LinkedIn Learning
  8. Intro to TensorFlow for Deep Learning – Offered by TensorFlow [Udacity]
  9. Deep Learning with TensorFlow 2.0 [2020] [Udemy]
  10. Detect Fraud and Predict the Stock Market with TensorFlow [Udemy]

 

Top 10 TensorFlow Online Training Courses

You can browse through these courses and then make a selection of the course that best fits your needs. So, let us get started and address these courses one by one.

 

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

DeepLearning.AI TensorFlow Developer Professional Certificate
 

Why this course?

Ranked at the top of our list is this Coursera TensorFlow training that is 100% online with a flexible deadline. It is one of the best courses for TensorFlow with a rating of 4.7. About 158,000+ students have already enrolled for this course.

 

As a part of this DeepLearning.AI TensorFlow class, you will learn to apply machine learning skills with this platform. Using TensorFlow, you can train and build powerful models. Upon availing this course, you will get your hands on some of the best TensorFlow tutorials.

 

Through this course, 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 course 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 training, 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 course have been praise-worthy. After completing this course, 23% of students could start a new career. Further, this course will present you with a shareable certificate upon successful completion.

 

Who do you need?

This is an intermediate-level course with hands-on best TensorFlow tutorials, but you do need some related experience. Also, to take this course, you need approximately four months.
 

Review 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 course about?

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 311, 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 course brings you the best TensorFlow tutorials as a part of the Machine Learning in Tensorflow Specialization. Through this course, you can learn some of the best practices to use TensorFlow, a prevalent open-source machine learning framework.

 

This 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, this TensorFlow online training 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 entire Deep Learning Specialization.

 

What will you learn?

As part of this course, 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:

  1. 23% 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. 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 course is part 1 of 4 in the DeepLearning.AI TensorFlow Developer. More so, this is an intermediate-level course. So, to take this 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.
 

Review 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, a rating of 4.9 shows that learners have really taken it well.

 

This specialization program is a foundational course, 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 best TensorFlow certification, you can train and build neural network architectures, such as Recurrent Neural Networks, Convolutional Neural Networks, Transformers, and LSTMs.

 

Further, the course will help you better understand concepts, such as BatchNorm, Dropout, Xavier/He initialization, and others.

 

So, with this TensorFlow online learning program, 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 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 taking this TensorFlow online training:

  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 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. TensorFlow online learning takes about five months to complete via this course, 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.
 

Review 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 best TensorFlow courses list is again a Coursera course. The course has a rating of 4.6 and has been availed by about 85,000+ students.

 

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 training, you will also 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?

This is the best TensorFlow tutorial 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 course:

  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.

 

Prerequisites

It is an intermediate-level course. So, some experience is needed. The course requires approximately five months to complete. 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.
 

Review 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 program on our list is a Udemy course with a rating of 4.5. In this course, you will learn the correct way to employ Google’s TensorFlow framework to develop artificial neural networks to push deep learning.

 

The course explains 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’s one of the best 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 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 course now.

 

What will you learn?

This TensorFlow course 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 course, there are a few prerequisites. These include:

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

 

Topics covered

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

Review 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 Course – 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 course 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 Training – LinkedIn Learning

TensorFlow tutorial
 

What Is This Course About?

There are eight key TensorFlow online courses available on LinkedIn. You need to understand that each course covers different aspects of Deep Learning and TensorFlow. Therefore, there is no one TensorFlow program, which fits it all. Of these eight courses, we will recommend the five course that caught our eye.

 

a. Building and Deploying Deep Learning Applications with TensorFlow

This could be your best TensorFlow tutorial spanning over one hour and forty-six minutes. It is an intermediate-level course, 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  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 course 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 course, which needs nine hours and four minutes to complete. Both beginners and intermediate-level students will find this course helpful.

 

In this TensorFlow online learning program, 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 course

This course 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 course 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

 

In addition to some introductory algebra, this TensorFlow training program requires you to have a strong command over Python syntax, functions, variables, and object-oriented programming which help you get the most from this course.

 

 

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

Deep Learning with TensorFlow 2.0
 

About the course

The next best TensorFlow course 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 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 is the best TensorFlow certification that can enable you to know what you are doing and why you are doing, instead of just mugging up the concepts.

 

In this course, 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 online learning course, you have to have some basic Python programming skills.

 

What will you learn?

Some concepts that you will learn in this 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

 

Review 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 course, you will also be in a position to detect any stock market changes.

 

As part of this course, you will learn to code in Python and assess linear regression. Your instructor for this course 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 program and will fetch you a certificate of completion once you are through with the course.

 

What do you need?

To take this course, 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

 

Review Greg Cimmarrusti:

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

 

 
Conclusion
So, these are the 10 courses with the best TensorFlow online learning experience. If you have the primary knowledge about TensorFlow, this ‘Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning’ is the best course for intermediate learners.

 

In addition to TensorFlow, if training in SAP HANA is what you need, do go through these best SAP HANA courses here.