8 Best Deep Learning Courses in 2022 [Learn Deep Learning ASAP]

Today we’re looking at the best deep learning courses of this year.

๐Ÿง  Did you know? According to AI Multiple, deep learning, machine learning and NLP are the most in-demand skills on Monster.com.

What is deep learning?

Deep learning is a subset of machine learning where machines have the ability to learn. It uses a series of artificial neural networks to simulate the learning style of the human brain. ๐Ÿคฏ

Is deep learning for beginners?

Deep learning is typically for beginners experienced with programming languages and math. But for more advanced deep learning concepts, you’ll need to know algorithms and frameworks.

How long does it take to learn deep learning?

It all depends.

Deep learning isn’t easy.

Students typically learn at different paces. It also depends on how much time you spend on learning deep learning.

That said, with the right learning materials, you can become a master of deep learning ASAP.

So today we’re showing you the best deep learning courses we could find.

This post contains affiliate links. I may receive compensation if you buy something. Read my disclosure for more details.

TLDR: Best Deep Learning Courses

๐Ÿ”ฅ Best Overall ๐Ÿ”ฅ
A Beginnerโ€™s Guide to Deep Learning: Educative.io

๐Ÿ’ฅ Best for Newbies ๐Ÿ’ฅ
Introduction to Deep Learning with Python: DataCamp

๐Ÿ’ธ Best Value ๐Ÿ’ธ
Build Deep Learning Models with TensorFlow Skill Path: Codecademy Pro

Best Deep Learning Courses: At A Glance

Interactive or video-based learningCommunityDurationLevelCertificateCost
A Beginnerโ€™s Guide to Deep Learning: Educative.ioInteractiveSee below20 hoursBeginnerโœ…$59 per month / $199 per year
Introduction to Deep Learning with Python: DataCampBothโœ…4 hoursBeginnerโœ…$25 per month
Introduction to Deep Learning with PyTorch: DataCampBothโœ…4 hoursBeginnerโœ…$25 per month
Introduction to Deep Learning with Keras: DataCampBothโœ…4 hoursBeginnerโœ…$25 per month
Deep Learning: The Big Picture: PluralsightVideoโŒ1.5 hoursBeginnerโœ…$29 per month
Build Chatbots with Python Skill Path: Codecademy ProBothโœ…8 weeksBeginnerโœ…$39.99 per month / $239.88 per year
Build Deep Learning Models with TensorFlow Skill Path: Codecademy ProBothโœ…3 monthsBeginnerโœ…$39.99 per month / $239.88 per year
Deep Learning Specialization: CourseraVideoโœ…4 monthsIntermediateโœ…$49 per month

1. A Beginner’s Guide to Deep Learning: Educative.io

๐Ÿ’ฐ Price: $69 per year for the course // $59 per month or $199 per year for all courses on Educative.io
โฒ๏ธ Duration: 20 hours
๐Ÿ“‰ Level: Beginner
๐Ÿ–ฅ๏ธ Format: Interactive learning
๐ŸŽ–๏ธ Certificate: Yes

Prerequisites: Python

Explanation of deep learning in the course A Beginner’s Guide to Deep Learning on Educative.io

๐Ÿ‘ Check out what we think of Educative in our article Is Educative Worth It?

You should be familiar with Python before taking this course.

โžก๏ธ A Beginner’s Guide to Deep Learning is one of the best deep learning courses this year.

First you’ll learn about the fundamental concepts and terminologies commonly found in deep learning. Then you’ll explore deep learning techniques.

You’ll look at both simple and complex deep learning models. And with hands-on exercises, you’ll discover how to code them in Python libraries NumPy and Keras.

๐Ÿ’ก A Python library is a set of functions that eliminates the need to write code from scratch. They’re vital for data science, machine learning and yes, deep learning.

There are over 137,000 Python libraries in existence.

Course Layout

Educative.io has an interactive learning environment where you’ll do all work in the same browser. In A Beginner’s Guide to Deep Learning, you’ll find:

โœ… 57 coding playgrounds

โœ… 13 challenges

โœ… 20 quizzes

And 214 illustrations.

With 9 modules, you’ll learn about:

โœ… simple perceptron models in NumPy

โœ… towards deep neural networks in NumPy

โœ… building machine learning models with Keras

And beyond.

Each module has a series of lessons and exercises. For example, in the module Fine-Tune Keras Model, you’ll find:

โœ… an introduction to model optimization

โœ… 2 challenges with solution reviews

โœ… model validations and capacity

Fine-tune keras model challenge in the course A Beginner’s Guide to Deep Learning on Educative.io

Finally at the end of the course, you’ll tackle two exams: Deep Learning in NumPy and Deep Learning in Keras. These assessments contain multiple choice, match and write-the-code questions.

Projects

There are two projects in A Beginner’s Guide to Deep Learning:

1๏ธโƒฃ Build a letter classification model

2๏ธโƒฃ Build a digit recognition model

Community

Educative.io has a community board where you can get help from teachers and other students.


2. Introduction to Deep Learning with Python: DataCamp

๐Ÿ’ฐ Price: $25 per month for all courses and Learning Paths / $33.25 per month for all courses, Learning Paths and projects
โฒ๏ธ Duration: 4 hours
๐Ÿ“‰ Level: Beginner
๐Ÿ–ฅ๏ธ Format: Video and Interactive Learning
๐ŸŽ–๏ธ Certificate: Yes

Prerequisites: Python

Lesson on coding the forward propagation algorithm in the course Introduction to Deep Learning with Python on DataCamp

Want to know why we think DataCamp is so awesome? Read our DataCamp Full Review.

Introduction to Deep Learning with Python is similar to A Beginner’s Guide to Deep Learning. But you’ll also find some videos in this course.

โžก๏ธ DataCamp has some of the best deep learning courses you’ll find.

We could go on and on about its interactive learning environment, data science-centered curriculum and abundance of exercises. But we just don’t have enough space here.

Introduction to Deep Learning with Python offers hands-on teaching where you’ll learn how to use Keras 2.0, a Python library.

Course Layout

DataCamp has an interactive learning environment where you’ll do all work inside the same browser. One of the nice things about DataCamp’s code editor is that it comes in dark mode.

You’ll also find some videos that introduce or clarify concepts.

Introduction to Deep Learning with Python has four modules:

โœ… Basics of deep learning and neural networks

โœ… Optimizing a neural network with backward propagation

โœ… Building deep learning models with keras

โœ… Fine-tuning keras models

Each module has a series of lessons, videos, exercises and quizzes. For example, in Fine-Tuning Keras Models, you’ll watch videos about model optimization, model validation and model capacity.

Then you’ll work on exercises related to changing optimization patterns and adding layers to a network, to name a few.

Projects

There are no projects in Introduction to Deep Learning with Python. Rather, you’ll work on a series of exercises throughout the course.

In addition, you’ll find plenty of projects with a Premium DataCamp subscription.

Community

DataCamp has a community where you’ll find a community forum, news and more.

๐Ÿ’กThere’s also a Trello board where you can see upcoming courses.


3. Introduction to Deep Learning with PyTorch: DataCamp

๐Ÿ’ฐ Price: $25 per month for all courses and Learning Paths / $33.25 per month for all courses, Learning Paths and projects
โฒ๏ธ Duration: 4 hours
๐Ÿ“‰ Level: Beginner
๐Ÿ–ฅ๏ธ Format: Video and interactive learning
๐ŸŽ–๏ธ Certificate: Yes

Prerequisites: Python

Unlike Introduction to Deep Learning with Python, Introduction to Deep Learning will take you on a journey through PyTorch instead of Python.

๐Ÿ’ก PyTorch is a leading Python deep learning framework. It’s considered powerful and easy to use.

We recommend this course for students interested in learning deep learning through the lens of a Python library.

In Introduction to Deep Learning with PyTorch, you’ll learn about the fundamentals of neural networks. You’ll even build your own neural network that predicts digits from a dataset.

Course Layout

DataCamp has an interactive learning environment that is sprinkled with videos to clarify concepts. You’ll do all work within the browser.

Neural networks video in the course Introduction to Deep Learning with PyTorch on DataCamp

Introduction to Deep Learning with PyTorch has 4 modules:

โœ… Introduction to PyTorch

โœ… Artificial Neural Networks

โœ… Convolutional Neural Networks (CNNs)

โœ… Using Convolutional Neural Networks

Each module has a series of lessons, videos, exercises and quizzes. For example, in Artificial Neural Networks, you’ll learn about activation and loss functions, preparing a dataset in PyTorch and training neural networks.

Then you’ll work on exercises such as calculating loss function in PyTorch and preparing MNIST datasets.

Projects

There aren’t any projects in Introduction to Deep Learning with PyTorch. However, you’ll find plenty of stimulating challenges throughout the course.

Community

DataCamp has a robust community with news, a community board and more. They also have a Trello board.


4. Introduction to Deep Learning with Keras: DataCamp

๐Ÿ’ฐ Price: $25 per month for all courses and Learning Paths / $33.25 per month for all courses, Learning Paths and projects
โฒ๏ธ Duration: 4 hours
๐Ÿ“‰ Level: Beginner
๐Ÿ–ฅ๏ธ Format: Video and interactive learning
๐ŸŽ–๏ธ Certificate: Yes

Prerequisites: Python

๐Ÿ’ก Keras is a deep learning Python API that makes it easier to develop deep learning models.

So like Introduction to Deep Learning with PyTorch, you’ll learn a specific library for deep learning instead of general Python.

In Introduction to Deep Learning with Keras, you’ll work on stimulating exercises.

For example, you’ll use regression to predict asteroid trajectories.

Then, you’ll use binary classification to differentiate real and fake money.

You’ll also use multiclass classification to choose who threw a dart ๐ŸŽฏ, and use neural networks to reconstruct busy images.

Course Layout

DataCamp has an interactive learning environment where you’ll do all work within the same browser. In addition, you’ll find occasional videos to introduce new concepts.

Counting parameters in the course Introduction to Deep Learning with Keras on DataCamp

Introduction to Deep Learning with Keras has 4 modules:

โœ… Introducing Keras

โœ… Going Deeper

โœ… Improving Your Model Performance

โœ… Advanced Model Architectures

Each module contains lessons, exercises, videos and quizzes. For example, in the module Introducing Keras, you’ll learn about neural networks.

Then you’ll work on exercises like counting parameters and specifying a model.

Projects

There aren’t any projects in Introduction to Deep Learning with Keras. But you’ll work on plenty of exercises throughout the course.

Community

DataCamp has a strong community that contains a community board, news, and more.

They also have a Trello board for upcoming courses.


5. Deep Learning: The Big Picture: Pluralsight

๐Ÿ’ฐ Price: $29 per month for standard courses and Learning Paths // $45 per month for advanced courses
โฒ๏ธ Duration: 1.5 hours
๐Ÿ“‰ Level: Beginner
๐Ÿ–ฅ๏ธ Format: Video
๐ŸŽ–๏ธ Certificate: Yes

Prerequisites: Python

Pluralsight is unique because it’s the only platform on our list of best deep learning courses that is exclusively video-based.

In Deep Learning: The Big Picture, you’ll learn how to get started in the intimidating world of deep learning. You’ll learn the basics of what deep learning is, how it works, and where to get started.

This course is only an hour and a half. So if you have a short attention span, this course could be for you.

But because this course is so basic, we recommend pairing it with another more in-depth course like A Beginner’s Guide to Deep Learning on Educative.io.

You’ll also learn about using TensorFlow and the Microsoft Cognitive Toolkit to create deep neural networks.

Next you’ll learn how deep neural networks are trained. Finally, you’ll learn deep learning concepts and technologies.

Course Layout

Pluralsight is a video-based platform, so you’ll do all work outside of the browser. But not to worry; they’ll show you how to set everything up.

Course overview and syllabus of Deep Learning: The Big Picture on Pluralsight

There are 6 modules in Deep Learning: The Big Picture:

โœ… Deep Learning

โœ… Techniques

โœ… Applications

โœ… Impact

And beyond.

Each module contains a series of lessons that dig deeper into concepts. For example, in Techniques, you’ll learn about different types of neural networks:

โœ… fully connected

โœ… convolutional

โœ… recurrent

โœ… generative adversarial

Then you’ll touch on deep reinforcement learning.

Projects

There aren’t any projects in Deep Learning: The Big Picture. For that reason, we recommend pairing it with another course.

Community

Pluralsight doesn’t have a community, though they do recommend students form guilds. โš”๏ธ


6. Build Chatbots with Python Skill Path: Codecademy Pro

๐Ÿ’ฐ Price: $39.99 per month or $239.88 ($19.99/mo) for all courses and Learning Paths
โฒ๏ธ Duration: 8 weeks
๐Ÿ“‰ Level: Beginner
๐Ÿ–ฅ๏ธ Format: Interactive learning and video
๐ŸŽ–๏ธ Certificate: Yes

Prerequisites: Python

Build Chatbots with Python is a bit different than the rest of our best deep learning courses.

Instead of one course, it’s a combination of multiple courses called a Skill Path. As a result, it usually takes a few months to complete.

In Build Chatbots with Python, you don’t need linear algebra to create chatbots. Instead, you’ll learn Python from scratch to create chatbots that teach themselves. ๐Ÿ˜ฒ

Course Layout

Similar to Educative.io and DataCamp, Codecademy has an interactive learning environment where you’ll do all work within the browser. But you’ll also find occasional videos to introduce or clarify concepts.

There are 6 modules in Build Chatbots with Python that function as complete courses:

โœ… Introduction to Python and Chatbots

โœ… Python Data Structures and Loops

โœ… Rule-Based Chatbots

โœ… Retrieval-Based Chatbots

โœ… Deep Learning and Generative Chatbots

โœ… Capstone Project

Each module is filled with lessons, quizzes and exercises. For example, in Module 5, you can expect to build an open-domain chatbot.

Projects

Codecademy courses and Learning Paths are always plum-full of mini-projects. So you’ll be working on tons of them throughout the Build Chatbots with Python.

Some projects you’ll work on in Build Chatbots with Python on Codecademy Pro

In addition, you’ll work on a capstone project on your local machine (this is very rare for Codecademy… usually all work is done in the browser) where you can choose between retrieval-based or generative chatbot models.

Community

Codecademy has a community where you can get help, share your projects, and chat with other students.


7. Build Deep Learning Models with TensorFlow Skill Path: Codecademy Pro

๐Ÿ’ฐ Price: $39.99 per month or $239.88 ($19.99/mo) for all courses and Learning Paths
โฒ๏ธ Duration: 3 months
๐Ÿ“‰ Level: Beginner w/experience in Python, NumPy and machine learning
๐Ÿ–ฅ๏ธ Format: Interactive learning and video
๐ŸŽ–๏ธ Certificate: Yes

Prerequisites: Python

๐Ÿ’ก TensorFlow is a Python library used for fast numerical computing. It was created by Google.

Build Deep Learning Models with TensorFlow is another Skill Path that is expected to take several months to complete.

Using TensorFlow, Keras and Python, you’ll learn how to train, test and tune deep learning models… All without having to know advanced math.

Course Layout

Build Deep Learning Models with TensorFlow has 7 modules that function as individual courses:

โœ… Welcome

โœ… Foundations of Deep Learning and Perceptrons

โœ… Getting Started with TensorFlow

โœ… Classification

โœ… Deep Learning in the Real World

โœ… Deep Learning Portfolio Project

โœ… Next Steps

Each module contains a series of lessons, mini-projects and quizzes. For example, in Module 3, you’ll learn how to build your own neural networks using TensorFlow.

Projects

You’ll work on tons of mini-projects throughout Build Deep Learning Models with TensorFlow.

In addition, you’ll work on a large portfolio-ready deep learning project.

Some projects in Build Deep Learning Models with TensorFlow on Codecademy Pro

Community

Codecademy’s community allows you to get help, share your projects, and chat with other students.


8. Deep Learning Specialization: Coursera

๐Ÿ’ฐ Price: $49 per month
โฒ๏ธ Duration: 4 months
๐Ÿ“‰ Level: Intermediate
๐Ÿ–ฅ๏ธ Format: Video
๐ŸŽ–๏ธ Certificate: Yes

Prerequisites: Python

Coursera is similar to Pluralsight because of all the videos you’ll find. However, you’ll also find readings and quizzes on the Coursera platform.

Deep Learning is a Specialization, which is Coursera’s version of a Learning Path. Instead of one course, there are multiple.

In this Specialization, you’ll use Python and TensorFlow to build neural network architectures such as CNNs and recurrent neural networks. In addition, you’ll work on real-world case studies related to:

โœ… autonomous driving

โœ… reading sign language

โœ… generating music

โœ… computer vision

โœ… speech recognition

โœ… natural language processing

You’ll also get advice from deep learning experts in the industry.

Course Layout

Some of what you’ll learn in the Deep Learning Specialization on Coursera

Coursera is a video-based learning platform. But you’ll also find plenty of readings and quizzes.

The Deep Learning Specialization contains 5 modules:

โœ… Neural Networks and Deep Learning

โœ… Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

โœ… Structuring Machine Learning Projects

โœ… Convolutional Neural Networks

โœ… Sequence Models

Each module has a cluster of lessons broken down by week. For example, in the course Convolutional Neural Networks you’ll find 14 videos, 2 readings and 3 quizzes in Week 3: Object Detection.

Projects

You’ll find one major project in the Deep Learning Specialization. In the third course, you’ll build a machine learning project.

It’s here where you’ll build and train deep neural networks, train and develop test sets to analyze bias for deep learning applications, build a CNN and more.

Community

There are forums within courses and Specializations on Coursera where you can get help from instructors (for a fee), mentors and other students.


Best Deep Learning Courses: Conclusion

Now let’s recap.

Today we looked at the best deep learning courses available, but three came out on top:

Best Overall
A Beginnerโ€™s Guide to Deep Learning: Educative

Best for Newbies
Introduction to Deep Learning with Python: DataCamp

Best Value
Build Deep Learning Models with TensorFlow Skill Path: Codecademy Pro

So whether you’re looking for the best overall, are just getting started, or need a good value, we think these are the best deep learning courses around.


Finished with these best deep learning courses? Keep the momentum going:


  1. What are the best deep learning courses?

    We think there are three best deep learning courses that are a cut above the rest. Overall, we think A Beginner's Guide to Deep Learning by Educative.io is the way to go. For newbies, we think Introduction to Deep Learning with Python is a solid course. And for value, we think Build Deep Learning Models with TensorFlow Skill Path by Codecademy Pro takes the win.

  2. Is A Beginner's Guide to Deep Learning by Educative.io worth it?

    We think A Beginner's Guide to Deep Learning by Educative.io is definitely worth it. You should be familiar with Python before taking this course. First you'll learn about the fundamental concepts and terminologies commonly found in deep learning. Then you'll explore deep learning techniques. You'll look at both simple and complex deep learning models. And with hands-on exercises, you'll discover how to code them in Python libraries NumPy and Keras.

  3. What is deep learning?

    Deep learning is a subset of machine learning where machines have the ability to learn. It uses a series of artificial neural networks to simulate the learning style of the human brain.

  4. How long does it take to learn deep learning?

    It all depends. Students typically learn at different paces. It also depends on how much time you spend on learning deep learning. If you want to get ahead of the pack, it's good to spend more time learning with courses and books.

  5. Is deep learning for beginners?

    Deep learning is typically for beginners experienced with programming languages and math. But for more advanced deep learning concepts, you'll need to know algorithms and frameworks. You can learn beginner and intermediate deep learning concepts in today's post.