javinpaulDisclosure: This post includes affiliate links; I may receive compensation if you purchase products or services from the different links provided in this article.
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.
In fact, a Japanese farmer turned programmer used it 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 this year 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 best courses to learn Python in this blog, 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., 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, particularly beginners from sites like Udemy, Pluralsight, and Coursera.
Top 10 Udemy and Coursera Courses for TensorFlow and Machine Learning
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. The Complete Guide to TensorFlow for Deep Learning with Python
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 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 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.
2. Machine Learning with TensorFlow + Real-Life Business Case
This is another great course to learn 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 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.
3. TensorFlow: Getting Started
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.e. you get access to a variety of courses by just paying a nominal monthly or annual fees.
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.
4. 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 Credit 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 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.
5. Beginners guide for building neural networks in TensorFlow
This is a really short course that will teach you neural networks and TensorFlow in less than 3 hours.
It's kind of a crash course on TensorFlow and Neural networks.
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 interesting part of doing any Deep Learning project.
6. TensorFlow in Practice Specialization
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.
You can sign-up here for the course for FREE.
7. Machine Learning with TensorFlow on Google Cloud Platform Specialization
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.
You can sign-up here for the course for FREE.
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. 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.
You can sign-up here for the course for FREE.
10. The Classic Machine Learning by [Andrew Ng]
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 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.
You can sign-up here for the course for FREE.
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 gives you access to more than 7000+ courses and projects, and you can also get unlimited certificates.
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. If you need more general courses, you can also check out my earlier post about deep learning courses.
Other useful Resources for Programmers
The Complete Web Developer RoadMap (Frontend + Backend)
10 Data Science and Machine Learning Courses for beginners
Top 5 Courses to learn Web Development for BEginners
5 Courses to Learn Big Data and Apache Spark
Top 10 JavaScript Tutorials and Courses for Web Developers
Best Apache Kafka Courses for Java developers
5 Courses to Learn React Native for Beginners
Thanks for reading this article. If you like these best TensorFlow and Machine Learning courses from Udemy and Coursera, 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 courses to kick-start your Machine learning and Deep learning journey, then you can also take a look at these 5 FREE Machine Learning Courses from Udemy, Coursera, Pluralsight, etc to start with.
