26 Nov Top 7 TensorFlow Courses for Beginners and Experienced in 2022 – Best of Lot

If you’re interested in artificial intelligence, data science, and machine learning, you’ve probably heard of TensorFlow, Google’s machine learning API that was used to develop the RankBrain algorithm for Google Search. TensorFlow is a popular machine learning API that can be used to automate a variety of real-world tasks, such as image recognition. In fact, a Japanese farmer turned programmer used it to detect the best quality Cucumber, something that only his father and mother can do with their years of experience. That is the power of machine learning, which is now accessible to all thanks to TensorFlow.

If you haven’t read that story, I strongly advise you to do so; it’s one of the few novels that inspired me to learn more about machine learning. This article includes a link to the further learning section.

One of my goals for 2022 is to learn more about machine learning and data science, which is why I’m also learning Python. You may have noticed a couple of python posts on this blog, such as the best courses to learn Python, which I have been using to learn Python this year.

TensorFlow, NumPy, Pandas, Sci-Kit, and other machine learning APIs are available in Python. Still, I’m concentrating my efforts on TensorFlow for obvious reasons: it’s supported by Google.

There is a lot of online material available for TensorFlow, and since Google is behind it, I am confident that it will quickly become one of the top skills. TensorFlow.js, a JavaScript library for training and deploying machine learning models, has also been released by Google.

Anyway, in this article, I’ll share some of the best online courses for programmers to learn TensorFlow and Machine Learning.

7 Best Online TensorFlow Courses for Machine Learning in 2022

Without further ado, here is my list of some of the best online courses for learning TensorFlow and Machine Learning. I hand-picked the best TensorFlow courses from Udemy, Pluralsight, and Coursera based on recommendations from Data Scientists experts and Machine Learning programmers.

These courses teach you not only theoretical knowledge but also practical skills that you will need to gain hands-on experience. All of these courses are also reasonably priced; most of them can be obtained for less than $10 during Udemy’s monthly flash sale. After finishing a course, you should be able to continue on your own.

1. TensorFlow Complete Guide for Deep Learning with Python [Udemy]

With over 28,268 students enrolled and thousands of 4.5 ratings, this is most likely the most popular TensorFlow course on Udemy. It covers the majority of TensorFlow topics and can be taken even if you are new to machine learning.

The first few chapters will teach you about machine learning and how TensorFlow’s neural networks can solve real-world problems.

This course will teach you how neural networks work and how to use TensorFlow for classification and regression tasks such as image classification with Convolutional Neural Networks.

You will also learn how to create your own Neural Network from scratch using Python, as well as how to perform Time-series Analysis with Recurrent Neural Networks. Overall, a fantastic course for learning the fundamentals of TensorFlow with Python.

2. TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning Introduction [Coursera]

If you’re looking for the best Coursera course to learn TensorFlow, this TensorFlow course by Lawrence Moroney and DeepLearning.ai is for you. This is an excellent online course for learning TensorFlow fundamentals as well as preparing for the TensorFlow Developer Certificate.

The deeplearning.ai team created this course, which is one of the best resources for learning anything about Data Science and Machine Learning. You will learn how to use TensorFlow to implement those principles so that you can begin building and applying scalable models to real-world problems in this TensorFlow course.

Here are some key takeaways from Coursera’s TensorFlow course:

• TensorFlow, a popular open-source machine learning framework, best practises
• How to Create a Simple Neural Network in TensorFlow
• Training a Neural Network for a Computer Vision Application
• How to Improve Your Neural Network with Convolutions
• This course is also available through Coursera’s Deep Learning programme.

AI TensorFlow Developer Professional Certificate is a comprehensive package for learning TensorFlow. This is also a popular Coursera course on TensorFlow, with over 145K learners worldwide trusting it.

And, if you find Coursera specialisations and certifications useful, particularly this one, I recommend you join Coursera Plus, a great Coursera subscription plan that gives you unlimited access to their most popular courses, specialisations, professional certificates, and guided projects. It costs around $399 per year, but it is completely worth it because you get unlimited certificates.

3. TensorFlow Machine Learning + Real-Life Business Case [Udemy]

This is yet another excellent Udemy course for learning TensorFlow. If you are a beginner, this is likely the best course to take because it will pique your interest in the complex but exciting world of Data Science, Machine Learning, and Deep Learning.

The course begins with the fundamentals and progresses in depth. The course is ideal for Python developers because it focuses on TensorFlow with Python. It also teaches NumPy, which is another popular machine learning API

The best part of this course is that after learning the fundamentals of TensorFlow and machine learning, you will create your own machine learning algorithm.

It’s business-focused, which means you’ll learn machine learning through real-world scenarios, such as how to use machine learning to optimise business performance, retain customers, improve conversions, and so on, all while leveraging real data collected by real companies.

If you have a Pluralsight membership and want to start learning TensorFlow, “TensorFlow: Getting Started” is a great place to start. This course will show you how to install and use TensorFlow, Google’s cutting-edge machine learning library. You’ll learn how to use TensorFlow to build machine learning models ranging from simple linear regression to complex deep neural networks.

This is the most significant advantage of Pluralsight membership; you get access to a variety of courses for a low monthly or annual fee.

I originally joined Pluralsight to learn Spring and Java courses, but I’m now using it for other technical courses, such as this one to learn TensorFlow. If you do not already have a Pluralsight membership, you can sign up for a 10-day free trial to gain access to this course.

4. TensorFlow: Getting Started

If you have a Pluralsight membership and want to start learning TensorFlow, “TensorFlow: Getting Started” is a great place to start. This course will show you how to install and use TensorFlow, Google’s cutting-edge machine learning library.

You’ll learn how to use TensorFlow to build machine learning models ranging from simple linear regression to complex deep neural networks. This is the most significant advantage of Pluralsight membership; you get access to a variety of courses for a low monthly or annual fee.

5. Tensorflow Can Detect Fraud And Forecast The Stock Market

This is a hands-on course that will demonstrate what can be accomplished with TensorFlow, Google’s advanced machine learning library. It’s ideal for programmers and beginners who are just getting started with Data Science and machine learning.

This course will teach you not only TensorFlow but also how to use it to create a Cred Card Froud Detection model in Python. You will also create a Python app that predicts the stock market using data.

I like project-based courses because you learn more by creating something meaningful, and this course meets that criterion nicely. If you enjoy project-based learning, this is the TensorFlow course for you.

6. TensorFlow.js Machine Learning In JavaScript

If you are a JavaScript developer looking for a way to use TensorFlow in your project, don’t worry; there is a TensorFlow library in JavaScript called TensorFlow.js, and this course will teach you TensorFlow and Machine Learning in JavaScript.

This is one of the best Udemy courses for learning neural networks, machine learning, and TensorFlow 3.0 in under 7 hours. It’s essentially a crash course in TensorFlow and Neural networks for JavaScript developers.

You will begin by learning the fundamental syntax of TensorFlow, Google’s machine learning framework, and then build a neural network in Python code. The best part about this course is that it also shows you how to train and test your neural network, which is the most exciting part of any Deep Learning project.

Another great feature of this course is that it was created by a specialised team of web developers who are enthusiastic about using JavaScript with Machine Learning. This means you’ll learn complex topics in a hands-on manner, with in-depth labs and quizzes to reinforce your knowledge.

Throughout the course, you will use house price data to answer complex questions such as “can you predict the value of this house?”, “can you tell me if this house has a waterfront?”, and “can you classify it as having 1, 2 or 3+ bedrooms?” Each example builds on the previous one to reinforce learning in small, steady steps. In short, a fantastic course in 2022 for learning TensorFlow and Machine Learning with JavaScript.

7. TensorFlow Developer Certificate: Zero to Mastery [ZTM Academy] in 2021

Many people are unaware that Google offers a TensorFlow Developer Certificate, which is not only a great way to demonstrate your TensorFlow skills but also to learn TensorFlow in depth.

From my own experience, I can say that when we prepare for any IT certification, whether it is AWS, Azure, Cloud, Google Cloud Platform, Java, or Spring, we learn a lot, and TensorFlow is no exception.

This ZTM Academy course is for you if you want to become a certified TensorFlow developer in 2022 and also learn TensorFlow in depth. This course will guide you from being a complete novice with TensorFlow to becoming a member of Google’s TensorFlow Certification Network.

Daniel Bourke, a TensorFlow Certified Expert, teaches the course, which is very well structured to give you everything you need to pass the TensorFlow Developer certification. You will learn about different Machine Learning algorithms, how to use deep learning for Timeseries forecasting, and how to build a TensorFlow model using computer vision, neural networks, and natural language processing.

Overall, a fantastic course for learning TensorFlow, passing the TensorFlow developer certification, and landing a job as a Machine Learning engineer making $100,000 per year.

To watch this course, you’ll need a ZTM membership, which costs around $39 per month and gives you access to a slew of other super engaging and useful courses like this one. You can also get a 10% discount on this course or any subscription by using the coupon code FRIENDS10.

That concludes our discussion of some of the best online courses for learning TensorFlow and machine learning with Python. TensorFlow is a very powerful machine learning API with a variety of real-world applications. For example, you can use it to detect images, such as taking photos of licence plates and then guessing the number and finding car owner details from the registration database.

This programme can be installed on highway speed cameras to detect and notify speeding drivers before they arrive home. If you require more general courses, please see my previous post on deep learning courses.