TensorFlow is an open-source and free software library developed by Google to be used in Machine Learning. Hence, it is a vital subject to learn. We’ve listed some of the best 13 course to learn TensorFlow online. These best TensorFlow online courses offer the best tutprorials and training certification.
The best Machine Learning library is TensorFlow. Hence it is one of the most used frameworks in AI, ML, and Deep Learning. Let’s look at the best course to learn TensorFlow online to enroll and earn a certificate.
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13 Best Course to Learn TensorFlow
1. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning – Coursera
This is an introduction course to learn TensorFlow. If you are a total newbie and have to idea what TensorFlow is, then this is a must-learn course. Introduction to the TensorFlow course provides you the essential overview TensorFlow in different fields.
Since it provides an overview of various fields such as AI, ML, and Deep Learning, you will gain a high level of knowledge on TensorFlow. To get started with this course, you need to know the Python Programming language. You don’t need to know everything in Python, you’re good if you know the basic loops and apply logic.
If you just want to learn the basics of TensorFlow, then this is the best TensorFlow online tutorial. If you want to learn more than the basics of TensorFlow, you should get the TensorFlow in Practice course.
Key takeaways of this course:
- Anyone who knows Python can take this course.
- Get the foundational knowledge of what neural network is.
- Build a computer vision application.
- Learn to use convolutions to improve your neural network.
- Learn the tricks and tips while you work on the assessments.
As this course offers a flexible schedule, you can learn anytime you want and finish the course in 10 hours.
2. Intro to TensorFlow – Coursera
Intro to TensorFlow will teach you the low-level TensorFlow training and concepts. This course is designed by Google Cloud and offered by Coursera. You will learn about the API’s to write distributed machine learning models.
Once you’re familiar with the core concepts of TensorFlow, the trainer will provide hands-on practice. This hands-on lab is used to build Machine Learning programs in the Google Cloud. If you want to become an upcoming ML expert or a successful data scientist, but don’t know where to start? Then this is the best TensorFlow online course for you.
You will gain all the essentials of TensorFlow to build Machine Learning models in the Google Cloud Platform. Considering this course to be basic is a mistake because you will learn more than just basic.
Key takeaways of this course:
- You’ll be able to create, build, and train Machine Learning models using TensorFlow.
- Learn the common mistakes of TensorFlow and how you can troubleshoot.
- Solve numerical problems by learning to use TensorFlow libraries.
- Learn to train the machine learning models in the managed infrastructure of Google Cloud Platform.
- Teach you how to design the datasets in ML and how you can debug the programs.
This course is for beginners who want to learn TensorFlow from the ground level. The approximate time to finish this course is about 10 hours, which can be achieved in 2-3 weeks of time.
3. TensorFlow in Practice – Coursera
TensorFlow in Practice course is the best TensorFlow online course by Coursera. Software developers enroll in this course so they can build scalable AI algorithms in TensorFlow.
By taking this course, you’ll identify all the tools that you can use to build powerful algorithms for AI. This TensorFlow in Practice specialization course comes with the four courses. You’ll begin with the introduction class of TensorFlow in AI, Machine Learning, and Deep Learning.
We know that Machine Learning, AI, and Deep Learning are changing the world. By completing this TensorFlow course by Coursera, you’ll be a part of that team. You will have learned to apply the TensorFlow skills to different projects to solve problems. For more hands-on labs, enroll in a few of the best TensorFlow projects for beginners.
Key takeaways of this course:
- You’ll be able to teach the machines to understand and respond to human speech.
- Learn to work with real-world images and understand how the computer sees the image as a piece of information.
- Learn the best practice of TensorFlow and train Neural Network to develop computer vision applications.
- Solve real-world problems by building a scalable model.
- Learn how you can build a time series model in TensorFlow.
It would take around one month to complete this course, which is by dedicating 15 hours of your time in a week. This is an intermediate level course and 100% online self-paced course.
4. TensorFlow: Data and Deployment – Coursera
This course is the continuation of the above course TensorFlow in Practice. You can take this course only if you’ve completed the above course or if you’re familiar with its topics. It also recommended that you should be familiar with JavaScript and Swift.
In this TensorFlow course, you’ll continue upgrading your skills in the subject. Here you’ll discover various ways to effectively use data to train your machine learning models. This TensorFlow Specialization course consists of 4 courses.
Key takeaways of this course:
- Using TensorFlow.js, you’ll learn how you can train and run machine learning models in a browser.
- You’ll learn many TensorFlow concepts that will shape your career, such as – TensorFlow Serving, Hub, and Tensor Board.
- You can run the machine learning models in both the Android and iOS platforms of mobile applications.
- Learn to use built-in datasets, use APIs to control the split of data, and process unstructured data.
- Understand how you can leverage TensorFlow Hub and TensorBoard.
- Test and decipher how the models work and share the model’s metadata with others.
This is the comprehensive online course of TensorFlow that would take about a month to complete the course. This is one of the best course to learn TensorFlow.
5. Getting started with TensorFlow 2 – Coursera
In this course, you will learn the end-to-end workflow to develop Deep Learning Models with TensorFlow. It includes everything from building, training, evaluating, predicting, and validating the models. Anyone who is interested in learning TensorFlow 2.0 should enroll in this course. This is the best TensorFlow 2.0 course out there.
This course can be taken by anyone who is a newbie to TensorFlow or who is familiar with TensorFlow 1.x. After enrolling in Getting started with TensorFlow 2 course, you will practice everything that you learned into hands-on practice. Such a unique offering are very hard to come these days.
The only prerequisite of this course is that you should be familiar with Python, some ML knowledge, and Deep Learning concepts.
Key takeaways of this course:
- You will learn some helpful resources to develop DL models using TensorFlow.
- Learn the different ways to build Deep Learning models using TensorFlow.
- It features programming assignments to make you familiar with the concepts.
- Understand how you can use callbacks to check performance.
- Has a capstone project where you can use all the knowledge that you learned to build a Deep Learning classifier.
This course is designed to be completed in five weeks, which consists of over 19 hours of video lessons, demos, presentations, and finally, capstone projects.
6. Customising your models with TensorFlow 2 – Coursera
This TensorFlow course is developed by the Imperial College London and available in Coursera. It consists of on-demand video classes, demos, presentations, and hands-on coding classes.
This course is the continuation of the above course Getting started with TensorFlow 2. Here you will gain more in-depth knowledge and skills in TensorFlow. You’ll learn some popular topics like Keras library, data pipeline, sequence modeling, etc.
Customising your models with TensorFlow 2 course has graded assignments and a capstone project. By reaching the end of the online TensorFlow course, you should develop a neural translation model from scratch. Successfully completing this will earn you a TensorFlow Certification from Coursera.
Key takeaways of this course:
- Construct a deep learning model using TensorFlow’s various APIs.
- Has programming assignments to gain knowledge on TensorFlow 2.
- Using Keras and the tf.data module, you will learn the workflow of data.
- This TensorFlow course has a Capstone project in the end.
This course consists of over 20 hours of TensorFlow training. By dedicating 10 hours per week, you can complete this course in 2 weeks and earn the TensorFlow certificate.
7. Natural Language Processing in TensorFlow – Coursera
In the Natural Language Processing in TensorFlow course, you will by developing natural language processing systems using TensorFlow. This makes it the coolest and best TensorFlow online course.
Here you’ll learn the TensorFlow to build and apply scalable models to solve real-world problems. You’ll also learn the different types of Neural Networks and apply RNN, GRU, and LSTM in TensorFlow.
This course is a 4-week course developed by deeplearning.ai. This TensorFlow course is a completely self-paced online course. You should have knowledge of basic math and a little bit of programming experience in Python. TensorFlow supports a wide range of modern technology. This is what makes it exciting to learn.
Key takeaways of this course:
- Using TensorFlow, you’ll be able to build natural language processing systems.
- You can process text to represent sentences as vectors.
- Learn to apply different neural networks such as RNNs, GRUs, and LSTMs in TensorFlow.
- Use the existing text to create original poetry and more.
The total duration of Natural Language Processing in the TensorFlow course is 9 hours. This means that it is a short course and can be completed in a week. Once completed, you’ll earn a certificate from Coursera.
8. Machine Learning with TensorFlow on GCP – Coursera
If your main focus is to become a Machine Learning expert with TensorFlow, then this is the best TensorFlow online tutorial. This course is about learning Machine Learning along with TensorFlow on GCP.
It comes with five courses in this specialization TensorFlow Certification. It is a mixture of 3 technical skillsets where you learn TensorFlow, ML, and Google Cloud. You can enroll in this course if this is your main goal.
Also, another great benefit here is that this course comes with Qwiklabs, which will provide you interactive lab sessions to learn TensorFlow effectively. You’ll benefit the most if you’ve some experience with the Python Programming language. Because you’ll work with end-to-end machine learning using TensorFlow.
Key takeaways of this course:
- This is a great TensorFlow course if you want to become a successful data scientist or machine learning expert.
- Since Google designs this course, it has a good syllabus.
- Consist of many hands-on interactive labs from Qwiklabs.
- Learn to train the TensorFlow model in the Google Cloud Platform.
- Learn the best practice of TensorFlow on GCP.
Due to the vast topics covered in this Machine Learning TensorFlow course, it would take around two months to complete the course. If you’re already taken this course and looking for an advanced TensorFlow course, check out the next course that we’ve mentioned below.
9. Advanced Machine Learning with TensorFlow on GCP – Coursera
As the name suggests, this is the advanced course in TensorFlow and ML. And this is the continuation of the above course. Hence, you should enroll in this course only if you’ve completed the above course or have similar knowledge.
This TensorFlow course comes with the workshop where you’ll learn end-to-end advanced machine learning concepts. You’ll also learn some of the concepts that involve AI, such as neural networks and sequences.
Once you submit the final project for self-assessment, you will be awarded an ML TensorFlow certificate. You can showcase this certificate on Linkedin and with your new employer.
Key takeaways of this course:
- This is the advanced TensorFlow ML course in the GCP.
- Create the dataset and build the ML model using TensorFlow.
- You’ll learn a high-level design that involves your ML model.
- Build end to end workflow in Google Cloud Platform.
- You will practice building and optimizing your own image classification with their interactive, hands-on labs.
Since this is the advanced course that uses TensorFlow, it would take many practice sessions to grasp the concepts. Hence this advanced Machine Learning – TensorFlow course will take about 2-3 months to complete the course.
10. Deep Learning with TensorFlow – edX
If you’re already familiar with ML, Deep Learning, and Python and looking forward to enhancing your skill, then you should enroll in this course. This course is designed by IBM and is one of the best course to learn TensorFlow.
Using TensorFlow, solve real-world problems by using Deep Learning with TensorFlow. Since we all know that TensorFlow is one of the best libraries to implement Deep Learning, then learning TensorFlow online is the best decision you can take.
This course will cover all the basic topics of TensorFlow and its main functions, operations, and execution. Although this course is part of the Deep Learning professional certificate, you can still take this individual course.
Key takeaways of this course:
- It offers an interactive study of TensorFlow.
- Learn the main functions, operations, and execution pipelines of TensorFlow.
- You’ll understand how TensorFlow works in regression, classification, curve fitting, and minimization of error functions.
- This course is organized very well, which explains concepts clearly.
- Learn all the methods to apply TensorFlow.
You can complete this course in about 2-3 weeks if you can study about 10 hours per week. It is all about timings and how soon you want to complete the course.
11. Tensorflow for Beginners – Udemy
This is the best TensorFlow online course for beginners, as this is one of the easiest to learn quickly. This TensorFlow course has a prerequisite of knowing any one of the programming languages.
You’ll start the course by learning all the details of TensorFlow from the foundational level. It also covers broad topics of ML lifecycle, Basics of Neural Networks, logical regression, TensorBoard, and CNN. This course is intended and focused on beginners to learn TensorFlow online.
As you progress with the course, you will learn some of the difficult topics in TensorFlow, such as Deep Learning. There is an entire section about Deep Learning in this TensorFlow beginners course.
Key takeaways of this course:
- Learn the basic concepts of everything about TensorFlow.
- You’ll study the life cycle of machine learning and Tensorboard.
- Using TensorFlow, you’ll learn how you can build AI and ML apps.
- Using TensorFlow, learn to implement neural networks.
- Introduction to advanced concepts of Deep Learnings and entire section dedicated to it.
As this is the basics course to learn TensorFlow online, it has only about 4 hours of video lessons. You can complete this course in a day or two.
12. Tensorflow Deep Learning – Data Science in Python – Udemy
If you are learning TensorFlow to advance your Data Science career, then this is one of the best course to learn TensorFlow. It uses the Tensorflow framework in Python. You can boost your career by learning to store, filter, manage, and manipulate data using TensorFlow and Python.
To get the most out of this online TensorFlow course, you should know Python, basic ML terms, and some knowledge on statistics.
The course instructor is Minerva Singh, an Oxford University MPhil graduate. He promises that by completing this course, you’ll become a pro in the TensorFlow based Data Science.
Key takeaways of this course:
- Use the power of Anaconda/iPython for practical learning of Data Science.
- An introductory class to teach Pandas and Numpy
- Learn how you can install and use TensorFlow in Anaconda.
- Apply Statistics & Machine Learning with TensorFlow.
- Implement both supervised and unsupervised learning with TensorFlow.
- Using TensorFlow, learn to implement Neural Network Modelling.
This course has a total of 7 hours of video tutorials on TensorFlow and has 45 learning resources. You can complete this online TensorFlow course in 2-3 days.
13. Complete Guide to TensorFlow for Deep Learning with Python – Udemy
This course is designed by Jose Portilla, Head of Data Science, Pierian Data. You can enroll in this TensorFlow course in e in Udemy. The prerequisite to enroll in this course is knowledge of basic math and Python programming language.
This is a detailed and complete guide to TensorFlow, which consists of over 14 hours of video lessons, five downloadable resources, and seven articles. This complete guide to the TensorFlow course will advise on how you can use Google’s TensorFlow framework and create artificial neural networks.
This course will make it easy to learn some as the instructor has made the difficult topics easy to understand.
Key takeaways of this course:
- Understand the workings of the Neural Network.
- Build your own Neural Network from scratch using Python and TensorFlow.
- You’ll be able to Perform Image Classification by using TensorFlow.
- Provide a clear set of instructions while installing and configuring necessary applications.
- Using Autoencoders, you’ll learn to solve problems of unsupervised learning.
You can complete this course a week or two as it has about 14 hours of video lessons on TensorFlow. Also, make sure you practice a lot on what you will be learning.
Summary
These are the best course to learn TensorFlow online. This list has a TensorFlow course in all the major fields such as data science, machine learning, AI, and Deep Learning.
Make sure you choose the appropriate course for you. If you’ve any trouble selecting the right course from this list of popular TensorFlow courses, leave a comment, and we’ll help you choose the right Tensorflow course.
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