If you are curious about Artificial intelligence, Data Science, and Machine learning, then I am sure you have heard about TensorFlow, Google's machine learning API, which they have used to develop the RankBrain algorithm for Google Search. TensorFlow is one of the most popular machine learning API, which allows you to automate several real-world tasks; for example, you can use it for image detection. In fact, a Japanese farmer turned programmer used it to detect the best quality Cucumber, which only his father and mother can do with his years of experience. That's the power of machine learning, which is now available to everyone because of TensorFlow.
If you have not read that story, I strongly suggest you read it; in fact, that's one of the few novels which motivated me to learn more about machine learning. You can find the link to the further learning section of this article.
One of my goals in 2025 is to explore Machine learning and Data Science, and that's why I am learning Python as well. You might have seen a couple of python posts like the best courses to learn Python in this blog, which I have been using to learn Python this year.
Python has a lot of handy and accessible machine learning APIs like TensorFlow, NumPy, Pandas, Sci-Kit, etc.. Still, I am mostly focusing on TensorFlow at this moment because of apparent reasons, it's supported by Google.
There is a lot of online material available when it comes to TensorFlow, and since Google is behind it, I am sure it's going to be one of the prime skills shortly. Google has now also released TensorFlow.js, a JavaScript library for training and deploying machine learning models.
Anyway, in this article, I am going to share some of the best online courses to learn TensorFlow and Machine learning for programmers.
These courses not only teach you theoretical knowledge but also practical stuff which you need to gain some hands-on experience. Also, all these courses are also not very expensive; most of them you can get easily in under $10 on Udemy flash sale, which happens every month. Once you complete a course, you should be able to proceed further by yourself.
The first couple of chapters will explain to you about machine learning and how TensorFlow can solve real-world problems through its neural networks.
In this course, you will learn about how Neural Network works and how you can use TensorFlow for classification and Regression tasks, like image classification with Convolutional Neural Networks.
You will also learn about how to build your own Neural Network from scratch using Python and perform Time-series Analysis with Recurrent Neural Networks. Overall, a great course to learn the basics of TensorFlow with Python.
If you have not read that story, I strongly suggest you read it; in fact, that's one of the few novels which motivated me to learn more about machine learning. You can find the link to the further learning section of this article.
One of my goals in 2025 is to explore Machine learning and Data Science, and that's why I am learning Python as well. You might have seen a couple of python posts like the best courses to learn Python in this blog, which I have been using to learn Python this year.
Python has a lot of handy and accessible machine learning APIs like TensorFlow, NumPy, Pandas, Sci-Kit, etc.. Still, I am mostly focusing on TensorFlow at this moment because of apparent reasons, it's supported by Google.
There is a lot of online material available when it comes to TensorFlow, and since Google is behind it, I am sure it's going to be one of the prime skills shortly. Google has now also released TensorFlow.js, a JavaScript library for training and deploying machine learning models.
Anyway, in this article, I am going to share some of the best online courses to learn TensorFlow and Machine learning for programmers.
8 Best Online Courses to Learn TensorFlow for Machine Learning in 2025
Without wasting any more of your time, here is my list of some of the best courses to learn TensorFlow and Machine learning online. These are the best TensorFlow courses from Udemy, Pluralsight, and Coursera and I have hand-picked them based upon recommendations from Data Scientists experts and Machine Learning programmers.These courses not only teach you theoretical knowledge but also practical stuff which you need to gain some hands-on experience. Also, all these courses are also not very expensive; most of them you can get easily in under $10 on Udemy flash sale, which happens every month. Once you complete a course, you should be able to proceed further by yourself.
1. Complete Guide to TensorFlow for Deep Learning with Python [Udemy]]
This is probably the most popular TensorFlow course on Udemy, with more than 28,268 students enrolled and thousands of 4.5 ratings. It covers most of the things about TensorFlow and you can take it even if you are new to machine learning.The first couple of chapters will explain to you about machine learning and how TensorFlow can solve real-world problems through its neural networks.
In this course, you will learn about how Neural Network works and how you can use TensorFlow for classification and Regression tasks, like image classification with Convolutional Neural Networks.
You will also learn about how to build your own Neural Network from scratch using Python and perform Time-series Analysis with Recurrent Neural Networks. Overall, a great course to learn the basics of TensorFlow with Python.
2. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning [Coursera]
If you are looking for best Coursera course to learn TensorFlow then you will love this TensorFlow course by Lawrence Moroney and DeepLearning.ai. This is a great online course not just to learn TensorFlow fundamentals but also to prepare for TensorFlow Developer Certificate.This course is created by the deeplearning.ai team which is one of the best resources to learn anything related to Data Science and Machine Learning. In this TensorFlow course, you will learn how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems.
Here are key things you will learn in this TensorFlow course from Coursera:
- Best practices for using TensorFlow, a popular open-source machine learning framework
- How to build a basic neural network in TensorFlow
- How to train a neural network for a computer vision application
- How to use convolutions to improve your neural network
This course is also part of Coursera's DeepLearning.AI TensorFlow Developer Professional Certificate which is a complete package to learn TensorFlow in depth. This is also one of the popular Coursera course on TensorFlow and trusted by more than 145K learners all over the world.
And, if you find Coursera specialization and certifications useful, particularly like this one, then I suggest you join the Coursera Plus, a great subscription plan from Coursera which gives you unlimited access to their most popular courses, specialization, professional certificate, and guided projects. It cost around $399/year but its complete worth your money as you get unlimited certificates
3. Deep Learning with TensorFlow 2.0 [Udemy]
This is another great course to learn about TensorFlow on Udemy. If you are a first-timer, this is probably the best course because it will generate your interest in the complex but exciting world of Data Science, Machine Learning, and Deep Learning.The course starts with basics but runs really deep. It's great for Python developers as the course focus on TensorFlow with Python. It also teaches you NumPy another popular machine learning API.
The best part of this course is that you will create your own machine learning algorithm after learning the basics of TensorFlow and machine learning.
It's business-focused, which means you will learn machine learning with real-world scenarios, like how to use machine learning to optimize business performance, retain customers, improve conversions, etc., all by leveraging the real data acquired by real companies.
4. TensorFlow: Getting Started [Pluralsight]
If you have a Pluralsight membership and looking for a course to start learning TensorFlow, then "TensorFlow: Getting Started" is an excellent place, to begin with.This course will teach you how to install and use TensorFlow, a cutting-edge machine learning library from Google.
You'll learn how you can use TensorFlow to create a range of machine learning models from simple linear regression to complex deep neural networks.
This is the most significant benefit of Pluralsight membership, i.e. you get access to a variety of courses by just paying a nominal monthly or annual fee.
I joined Pluralsight to learn Spring and Java courses, but now I am also using other technical courses, e.g. this one to learn TensorFlow. If you don't have Pluralsight membership, you can still access this course by signing for a 10-day free trial.
5. Detect Fraud and Predict the Stock Market with TensorFlow
This is a practical course that will show you what can be achieved using TensorFlow, Google's advanced machine learning library. It's great for beginners and programmers who are just starting with Data Science and machine learning.In this course, you will not only learn TensorFlow but also learn how to use that to make a Cred Card Froud Detection model in Python. You will also make an app with Python that uses data to predict the Stock Market.
I really like the project-based courses because you learn more by building something meaningful, and this course fits well on that criterion. If you also like project-based learning then this is the perfect TensorFlow course for you.
6. Machine Learning in JavaScript with TensorFlow.js
If you are a JavaScript developer and looking for a way to use TensorFlow in your project then don't worry, you don't need to learn Python as there exists a TensorFlow library in JavaScript classed TensorFlow.js and this course will help you to learn TensorFlow and Machine Learning in JavaScript.This is one of the best Udemy course that will teach you neural networks, Machine Learning and TensorFlow 3.0 in less than 7 hours. It's a kind of crash course on TensorFlow and Neural networks for JavaScript developers.
You will start from scratch by learning the basic syntax of TensorFlow, Google's machine learning framework, and later build a neural network in Python code. The best part of this course is that it also explains how you can train and test your neural network, the most exciting part of doing any Deep learning project.
You will start from scratch by learning the basic syntax of TensorFlow, Google's machine learning framework, and later build a neural network in Python code. The best part of this course is that it also explains how you can train and test your neural network, the most exciting part of doing any Deep learning project.
Another great thing bout this course is that it has been designed by a specialist team of web developers who are passionate about using JavaScript with Machine Learning. This means you will learn complex topics in a practical way, and reinforce learning with in-depth labs and quizzes.
Throughout the course you will use the price data for selling houses to answer complicated questions like "can you predict the value of this house?", "“can you tell me if this house has a waterfront?", "can you classify it as having 1, 2 or 3+ bedrooms?". Each example builds on the one before it, to reinforce learning in easy and steady steps.
In short, a great course to learn TensorFlow and Machine Learning with JavaScript in 2025.
The "Tensorflow 2.0: Deep Learning and Artificial Intelligence" course, a comprehensive program that boasts a remarkable 4.7 out of 5 rating from 10,819 satisfied learners. With a robust curriculum spanning 24 hours of on-demand video content, the course provides full lifetime access and a certificate of completion upon finishing the program.
Students will unravel the mysteries of Artificial Neural Networks (ANNs) and Deep Neural Networks (DNNs), exploring diverse applications such as predicting stock returns, time series forecasting, computer vision, GANs (Generative Adversarial Networks), recommender systems, and image recognition.
The course goes beyond conventional boundaries, teaching how to build a Deep Reinforcement Learning Stock Trading Bot and employ Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). Learners will also delve into Natural Language Processing (NLP) using Deep Learning techniques, illustrating Moore's Law through code, and mastering Transfer Learning for state-of-the-art image classifiers.
Additionally, the course equips participants with practical skills, including using Tensorflow Serving for RESTful API deployment, Tensorflow Lite for mobile and embedded devices, and Tensorflow's Distribution Strategies for parallelized learning.
By the end, students have the opportunity to earn the coveted Tensorflow Developer Certificate, making this course a vital resource for those seeking expertise in machine learning, neural networks, and artificial intelligence.
Many people doesn't know that there is a TensorFlow Developer Certificate from Google which is not only a great way to showcase your TensorFlow skill but also to learn TensorFlow in depth.
From my own experience, I can say that we learn a lot when we prepare for any IT certification, be it AWS, Azure, Cloud, Google Cloud Platform, Java, or Spring, I have learned a lot when I prepare for those certification and TensorFlow is no different.
If you want to become a certified TensorFlow developer in 2025 and also want to learn TensorFlow in depth then this ZTM Academy course is for you. This course will take you step-by-step from an absolute beginner with TensorFlow to becoming part of Google's TensorFlow Certification Network.
The course is taught by TensorFlow Certified Expert, Daniel Bourke and its very well structured to give you everything you need to pass the TensorFlow Developer certification. You will learn about various Machine Learning algorithms, applying deep learning for Timeseries forecasting, building TensorFlow model using computer vision, neural networks and natural language processing.
Overall a great course to learn TensorFlow, pass the TensorFlow developer certification and get a Machine Learning engineer job making $100K per year.
Btw, you would need a ZTM membership to watch this course which costs around $39 per month but also provides access to many super engaging and useful courses like this one. You can also use coupon code FRIENDS10 to get a 10% discount on this course or any subscription you choose.
That's all about some of the best online courses to learn TensorFlow and machine learning using Python. TensorFlow is a very powerful machine learning API that has several real-world usages, for example, you can use it to detect images like you can take pictures of number plates and then guess the number and find car owner details from the registration database.
Speed cameras on the highway can have this program installed to detect and send notifications to speeding car owners before they reach home.
Btw, If you need more general courses, you can also check out my earlier post about deep learning courses.
Other useful Programming and Software Development resources
Thanks for reading this article. If you like these best TensorFlow and machine learning courses, then please share them with your friends and colleagues. If you have any questions or feedback, then please drop a note.
P. S. - If you are keen to start but don't want to spend money, you can also check out these Free Machine Learning Courses, they are also great to start with, not as good as the paid ones but still good enough to learn Machine learning.
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- What's New in TensorFlow 2.0
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- How a Japanese cucumber farmer is using deep learning and TensorFlow
Thanks for reading this article. If you like these best TensorFlow and machine learning courses, then please share them with your friends and colleagues. If you have any questions or feedback, then please drop a note.
P. S. - If you are keen to start but don't want to spend money, you can also check out these Free Machine Learning Courses, they are also great to start with, not as good as the paid ones but still good enough to learn Machine learning.
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