10 Best TensorFlow Courses in 2024
Want to learn TensorFlow or become a TensorFlow certified engineer? These are the best online courses to learn Tensorflow from sites like Udemy, Coursera, and Pluralsight in 2024.
Hello Guys, 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 APIs, which allows you to automate several real-world tasks. For example, you can use it for image detection, object detection, and much more.
In fact, a Japanese farmer turned programmer used TensorFlow to detect the best quality cucumber, which only his father and mother can do even with their 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, in fact, that’s one of the few stories that motivated me to learn more about Machine Learning.
One of my goals 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 from me, which I have been using to learn Python this year.
Python has a lot of very useful and popular Machine Learning APIs, like TensorFlow, NumPy, Pandas, Sci-Kit, etc., You can see the full list of Python Machine learning libraries here, but I am mostly focusing on TensorFlow at this moment because of an obvious reason: 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 in the near future. Google has now also released TensorFlow.js, a JavaScript library for training and deploying Machine Learning models.
In this article, I am going to share some of the best online courses to learn TensorFlow and Machine Learning for programmers.
Top 10 TensorFlow and Machine Learning Courses for Beginners and Experienced in 2024
Without wasting any more of your time, here is my list of some of the best courses to learn TensorFlow and Machine Learning online.
All these courses not only teach theoretical knowledge but also practical stuff which you need to gain some hands-on experience.
All these courses are also not very expensive and you can get most of them for 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
This is probably the most popular TensorFlow course on Udemy with more than 91, 535 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.
This course is created by Jose Portilla, one of the most popular Udemy instructor and author of The Complete Python 3 Bootcamp course on Udemy with more than 1.5 million students, a record on Udemy.
Coming back to this course, the first couple of chapters will explain Machine Learning and how TensorFlow can solve real-world problems through its neural networks.
In this course, you will learn about how Neural Networks work and how you can use TensorFlow for classification and regression tasks, like image classification with Convolutional Neural Networks.
You can sign up for this course here — Complete Guide to TensorFlow
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, it is a great course to learn the basics of TensorFlow with Python.
Apart from this Jose, also has Complete Tensorflow 2 and Keras Deep Learning Bootcamp on Udemy. If you want to learn TensorFlow and Kearas you can check that out.
2. DeepLearning.AI TensorFlow Developer Professional Certificate on Coursera
This is one of the best Coursera specializations to learn TensorFlow in depth. In this four-course Specialization, you’ll not only explore exciting opportunities for AI applications but also learn how to build and train neural networks.
You will also learn about how to improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems, process text, represent sentences as vectors, and input data to a neural network.
The courses are free-to-audit but if you need certification you need to pay some money but if you complete the specialization in 7 days, you can still cancel and get a certificate for free, but if you like this specialization and appreciate Coursera, by all means, you should buy it.
Here is the link to join this certification — TensorFlow Developer Professional Certificate
By the way, If you are planning to join multiple Coursera courses or specializations, then consider taking a Coursera Plus subscription which provides you unlimited access to their most popular courses, specialization, professional certificate, and guided projects. It costs around $399/ per year but is worth it because you get access to more than 7000+ courses and projects, and you can also get unlimited certificates.
3. TensorFlow Developer Certificate in 2024: Zero to Mastery
If you are preparing for TensorFlow Developer Certification and looking for a focused, up-to-date, and quality course then TensorFlow Developer Certificate in 2024: Zero to Mastery is one of the best course to join in 2024.
Taught by TensorFlow Certified Expert, Daniel Bourke, This course is designed to take you from a TensorFlow beginner to being part of Google’s Certification Network.
Now coming back to my review, unlike other TensorFlow courses on the web, this TensorFlow course is very hands-on and project based. You won’t just be watching videos and get bored but you will learn and code.
You will actually be running experiments, doing exercises and building real-world machine learning models and projects to mimic real life scenarios. You will be using real-world images in different shapes and sizes to visualize the journey of an image through convolutions to understand how a computer sees and understand information, plot loss and accuracy
After going through this comprehensive course, more than 64-hours of content, yes its indeed that long, you will develop all the skillset needed to create modern deep learning solutions that big tech companies encounter and also pass the TensorFlow Developer exam.
Here is the link to join this course — TensorFlow Developer Certificate in 2024: Zero to Mastery
The course will also show you what the TensorFlow exam will look like for you.
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.
4. TensorFlow: Getting Started [Pluralsight]
If you have a Pluralsight membership and are looking for a course to start learning TensorFlow then “TensorFlow: Getting Started” is a good place to start 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 biggest benefit of Pluralsight membership I mean you get access to a variety of courses by just paying a nominal monthly or annual fee.
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I joined Pluralsight to learn Spring and Java courses but now I am also using other technical courses such as this one to learn TensorFlow. If you don’t have Pluralsight membership, you can still access this course by signing up for a 10-day free trial.
5. Tensorflow 2.0: Deep Learning and Artificial Intelligence [Udemy]
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.
This course is created by Lazy Programmer, one of the autority instructor of Udemy when it comes to teaching Machine Learning and in this course, you will not only learn TensorFlow but also learn how to use that to make a Recommendation system 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 that is 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.
Here is the link to join this course — Tensorflow 2.0: Deep Learning and Artificial Intelligence
6. A Complete Guide on TensorFlow 2.0 using Keras API [Udemy]
Create by Hadelin de Ponteves, Ligency I Team and Luka Anicin this is another that will teach you neural networks and TensorFlow in less than 13 hours. It’s kind of a lessor focused course on TensorFlow and Keras.
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.
One of the great thing about this course is that it uses Colab for the homework/lab exercises. This was a really a great thing as with Colab there is less chance of student error messing up the code, and you end up with a really nice online, sharable portfolio of your projects.
Talking about social proof, the course has amazing positive reviews and ratings with on average 4.0 rating from more than 50K students.
The best part of this course is that it also explains how you can train and test your neural network, the most interesting part of doing any Deep Learning project.
Here is the link to join this TensorFlow course — A Complete Guide on TensorFlow 2.0 using Keras API
7. Machine Learning with TensorFlow on Google Cloud Platform Specialization by Google Cloud
This is another awesome resource to learn TensorFlow and Machine learning but on Google Cloud, which provides powerful TensorFlow infrastructure for advanced deep learning model training.
This specialization is one of the best for beginners and it contains the following five courses which will teach you a lot of things about TensorFlow and machine learning.
1. How Google does Machine Learning
2. Launching into Machine Learning
3. Intro to TensorFlow
4. Feature Engineering
5. Art and Science of Machine Learning
Again, courses are free-to-audit but you need to pay for the certificate and if you need access to all assignments and grading materials.
Here is the link to join this program — Machine Learning with TensorFlow
8. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
This course is part of the TensorFlow in Practice Specialization by deeplearning.ai. In case if you are not doing that specialization then you can just do this course to learn about TensorFlow and how you can use it for Artificial Intelligence and Machine Learning.
You can sign-up here for the course for FREE.
9. The Free Machine Learning Course by Andrew Ng on Coursera
This is the classic course on Machine learning from Andrew Ng offered by Stamford on Coursera. This is the first course I took a couple of years ago to learn about Machine Learning and it inspired me to learn more about this field.
It’s one of the first and best courses on Coursera and also on Machine learning and more than 2.4 million students have benefited from this. If you want to start your machine learning journey, there is no better course than this one.
Here is the link to join this course — Machine Learning by Andrew Ng
10. Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization
This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs.
This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text.
It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order.
Here is the link to join this Coursera program — Advanced Machine Learning with TensorFlow
And, if you find Coursera courses useful, which they are because they are created by reputed companies like Google, IBM, Amazon, and best universities around the world, I suggest you join the Coursera Plus, an annual subscription plan from Coursera.
This single subscription gives you unlimited access to their most popular courses, specialization, professional certificate, and guided projects. It cost around $399/year but its complete worth of your money as you get unlimited certificates.
11. Machine Learning with TensorFlow + Real-Life Business Case
This is another great course to learn about TensorFlow. 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 focuses on TensorFlow with Python. It also teaches you Numpy, which is 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.
Here is the link to join this course — Machine Learning with TensorFlow + Real-Life Business Case
By the way, you can either join this course individually or you can take an Educative subscription (recommended) to get access to their 250+ high quality, text-based, interactive courses to learn key skills for coding interviews, software development, and technology.
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 in the highway can have this program installed to detect and send notifications to speeding car owners before they reach home. If you need more general courses, you can also check out my earlier post about deep learning courses.
I have also included courses for people preparing for TensorFlow Developer Certification, so if you are preparing for TensorFlow certification you can also benefit from those courses.
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Thanks for reading this article. If you like these best TensorFlow and Machine Learning courses, then please share with your friends and colleagues. If you have any questions or feedback then please drop a comment.
P. S. — If you need some FREE resources to start with, you can check out this free course Learn Machine Learning algorithms, software, deep learning to start your preparation.
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