8 Best PyTorch and Keras Courses for Deep Learning in 2024
Want to learn PyTorch and Keras deep learning libraries in 2024? These are the best online courses you can join from Udemy, Coursera, Educative, and Pluralsight.
Hello guys, if you want to learn PyTorch and Kearas from scratch in 2024 and are looking for the best PyTorch and Keras online courses, you have come to the right place. In the past, I have shared the best machine learning courses and best TensorFlow courses, and today I will share the best Keras and Pytorch courses for beginners and experienced programmers.
PyTorch and Keras are two deep learning libraries developed by two big companies, Facebook and Google, aiming to facilitate the creation of deep learning applications like face recognition and self-driving cars, and so on.
Pytorch is a deep learning library developed by none other than tech giant Facebook to build machine learning models like NLP and computer vision just to name a few. Keras is just an interface that lets you reach the behemoth of the other deep learning libraries like TensorFlow, Theano, and Microsoft CNTK.
Learning these two libraries these days has become an essential part for anyone who wants to enter the world of AI and deep learning or if you want to boost your career as one of the best Deep Learning Research Engineer and get a job in almost every company.
In the past, I have shared books, tutorials, certifications, and the best online courses to learn Machine Learning from scratch. If you are new to the Machine learning world, you can also go through them to build some foundation.
This article will find the best online courses that teach you how to perform deep learning techniques in computer vision, chatbots, recurrent neural networks, convolutional neural networks, and much more.
8 Best Keras and Python Courses for Deep Learning
Without any further ado, here is the list of best online courses to learn PyTorch and Keras, two of the most popular Machine learning libraries from Facebook and Google.
The list includes basic and advanced courses to learn PyTorch and Keras in depth. The list includes courses to just learn Pytorch or Keras and an online training course that covers both of them.
1. Complete Tensorflow 2 and Keras Deep Learning Bootcamp
One of the best courses to learn about TensorFlow and Keras on Udemy. This course will walk you through the basic concepts of machine learning and then show you how to implement these techniques in real-world programs to get some experience in machine learning while you learn this course.
Things you will learn in this course:
- Connect Keras API with TensorFlow and build machine learning applications.
- Use Google collab and TensorBoard to visualize your deep learning models.
- Data visualization using Matplotlib and seaborn.
You will start with TensorFlow machine learning library concepts since Keras is just an interface of TensorFlow that will walk you on how to use Keras APIs to classify images, predict future data, and generate text like humans using the RNN techniques.
Here is the link to join this awesome course — Complete Tensorflow 2 and Keras Deep Learning Bootcamp
2. PyTorch: Deep Learning and Artificial Intelligence
This is an awesome course to learn PyTorch for Deep Learning and Artificial Intelligence from the Lazy Programmer Team, one of the best instructors on Udemy for Machine Learning and Deep Learning.
This course is for beginner-level students up to expert-level students. You will start with some very basic machine learning models and advance to the state-of-the-art concepts.
You will learn about all of the major deep learning architectures, such as Deep Neural Networks, Convolutional Neural Networks (image processing), and Recurrent Neural Networks (sequence data).
Here are the key things you will learn in this course:
- Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs)
- Time Series Forecasting
- Computer Vision
- How to build a Deep Reinforcement Learning Stock Trading Bot
- GANs (Generative Adversarial Networks)
- Recommender Systems
This course is designed for people who want to learn fast, but there are also “in-depth” sections in case you want to dig a little deeper into the theory (like a loss function) and the different types of gradient descent approaches).
Here is the link to join this Pytorch course — PyTorch: Deep Learning and Artificial Intelligence
3. PyTorch Tutorial — Neural Networks & Deep Learning in Python
This is another great course on PyTorch for people who want to learn and master Neural Networks and Deep Learning using Python.
This course is your complete guide to practical machine & deep learning using the PyTorch framework in Python. It covers the important aspects of PyTorch, and if you take this course, you can do away with taking other courses or buying books on PyTorch.
Another good thing about this course is that you will learn to use PyTorch on real data, unlike other Python courses and books! Most of the other resources I encountered showed how to use PyTorch on in-built datasets that have limited use.
Here is the link to join this course — PyTorch Tutorial — Neural Networks & Deep Learning in Python
4. Introduction to Deep Learning [Coursera]
This is another good Udemy course to learn Deep Learning and learn Keras library by creating models. The course teaches you about the essential steps on how deep learning networks and AI in general work and some basics like gradient descent, backpropagation, activation functions, and so on.
After that, you will get hands-on experience on how to implement these basic methods in the real world using Keras like performing the regression and classification, CNN, and RNN, and you will end the course with a project that you need to create in order to complete the course and get certified.
This course is also part of the IBM AI Engineering Professional Certificate which means completing this course will count towards that certification as well.
Here are key things you will learn in this course:
- Some Basic concepts of deep learning and AI.
- Using Keras to create deep learning models.
- See the other different deep learning libraries.
Here is the link to join this deep learning course — Introduction to Deep Learning
By the way, when it comes to joining this course, you have two options, you can either join this course alone which costs around $39 per month for specialization, you can also join Coursera Plus for $399 per year, a subscription plan from Coursera which gives you unlimited access to their most popular courses, specialization, professional certificate, and guided projects.
5. Deep Learning with Python and PyTorch [edx Best Course]
This is the best edX course to learn the PyTorch library and Deep Learning with Python. In this online training course, you can learn PyTorch for deep learning using python and it requires some mathematical training like algebra and calculus alongside some python basic training.
You will learn in this course:
- An Introduction to PyTorch library.
- Create different regression models.
- Make your prediction more accurate.
Another point that makes this program unique and different is that it will deep dive you into comprehensive methods on how to use PyTorch to build models such as logistic regression and how to make your prediction more accurate using the dropout layers.
Here is the link to join this PyTorch course — Deep Learning with Python and PyTorch
6. Foundations of PyTorch [Pluralsight best Course]
This is the best Pluralsight course to learn PyTorch in 2024. This online training course will start with simple deep learning terms like neurons and activation functions, then walk you through the practical examples.
You will learn in this course:
- Deep learning concepts.
- Build PyTorch models.
- Optimize your neural network.
You will learn how to choose the best parameter values in your PyTorch models, and you should train your neural network and then implement some techniques like gradient descent.
Here is the link to join this course — Foundations of PyTorch
Btw, you would need a Pluralsight membership to access this course which costs around $29 per month or $299 per year. The membership is completely worthy of your time and money, and I highly recommend every programmer if they can afford to keep themselves up-to-date. You can also use their 10-day-free-trail to access this course for FREE.
7. Make Your First GAN Using PyTorch [Educative Best Course]
If you are looking for an awesome, hands-on, text-based, and interactive course to learn PyTorch, then this Educative course is for you to learn PyTorch and build GANs with industry-standard tools.
If you don’t know, Educative is a new online learning platform that allows you to run code right in your browser, making learning easier as you don’t need to download any software or set up your dev environment.
This course introduces Generative Adversarial Networks (GANs) and a practical step-by-step tutorial on making your own with PyTorch.
Here are the key skills you will learn in this course:
- Pytorch basics
- How to make a neural network with PyTorch
- Refining the neural network output
- Basics of CUDA
- The basic idea of GAN
- Learning a simple 1010 pattern using GAN
- Learning handwritten digits using GAN
- Learning human faces using GAN
- Convolutional GANs Conditional GANs
Overall a great course to make your first GAN with Pytorch and take the opportunity to work at the cutting edge of machine learning.
Here is the link to join this course — Make Your First GAN Using PyTorch.
And, if you find the Educative platform and their interactive courses useful, you can also get an Educative Subscription that provides access to not just this course but their 210+ courses for just $14.9 per month. It’s very cost-effective and great for preparing for coding interviews.
8. Modern Deep Learning in Python [Udemy Course]
If you want to learn PyTorch alongside Keras in one course, this is definitely the right course for you. It will show you how to use these two different and other deep learning libraries such as Theano and CNTK.
You will see how to create programs like facial expression recognition and many techniques such as weight initialization and batch normalization to make your model much more accurate, but the course requires some basic knowledge of how deep learning works.
You will learn in this course:
- Many deep learning libraries alongside PyTorch and Keras.
- Build a facial expression recognition program.
- Techniques to make your prediction more accurate.
Here is the link to join this course — Modern Deep Learning in Python
That’s all about the best deep learning courses on PyTorch and Keras. While they all cover the basics of PyTorch and Keras, some of them may look a little bit deep for you and a little bit hard, and some have math more than you expected, but I guarantee that these courses will give you an introduction to the world of deep learning and AI.
These are also the best online training courses to learn PyTorch and Keras from Udemy, Pluralsight, and edX, and you can join any of them to deep dive into these essential Machine learning libraries.
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Thanks for reading this article so far. If you find these best PyTorch and Keras online courses useful, 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 interested in learning PyTorch and Keras and looking for free online training courses to start with, you can also check out this Deep Learning with Pytorch for Beginners free course on Udemy. It’s completely free, and all you need is a free Udemy account to join this course.
