14 Best Online Deep Learning Courses for 2023

Do you want to learn more about artificial intelligence and how to use it? A deep learning course is what you need to dig deeper into AI, machine learning, and deep learning algorithms.

Artificial intelligence technology, such as deep learning, is rapidly changing how we interact with the world. It’s also causing widespread disruption across many industries. Scientists, marketers, business professionals, entrepreneurs, and (of course) developers and programmers can all benefit from knowing more about AI.

And learning about AI is deceptively simple. Today, we will look at the best deep learning courses for all ranges of experience. 

What is a Deep Learning Course?

Deep learning refers to a relatively new area of artificial intelligence. Deep learning is a specific type of machine learning analysis, although the basic theory of machine learning and deep learning remain fundamentally entwined.

Deep learning is concerned with neural networks and broad, intuitive analysis. Deep learning applications include image recognition, recommendation systems, and natural language processing. 

Perhaps most importantly, deep learning isn’t just for programmers and developers. Many careers now involve deep learning processes, from scientists to market researchers. Because of this, those who are not from a computing background may also be interested in finding the best deep learning course for them.

You’ll find that there are many courses online focused on the deep learning specialization. But because it’s both new and disruptive, it’s important to ensure that you’re taking a deep learning course tailored to your background and experience level. 

Below, we’ve rated the best deep learning courses online based on skill level and audience.

Course	Skill Level	Audience
Deep Learning Crash Course	Beginner	General
The Basics of Deep Learning	Beginner	Business
Yann LeCun’s Deep Learning Course	Advanced	Developers
Artificial Intelligence: The Big Picture of AI	Beginner	General
Practical Deep Learning for Coders	Beginner	Developers
Artificial Intelligence: Implications for Business Strategies	Beginner	General
Preparing for Google Cloud Certification	Intermediate	Developers
Deep Learning Specialization	Intermediate	Developers
Fundamentals of Google AI	Intermediate	Developers
Building Advanced Deep Learning and NLP	Advanced	Developers
Deep Learning A-Z	Intermediate	Developers
Machine Learning with Python	Intermediate	Developers
Introduction to Deep Learning	Advanced	Developers
Data Science: Intro to Deep Learning	Advanced	Developers

 

1. Deep Learning Crash Course - Learn the Key Concepts and Terms (Free Code Camp)

This free deep learning course covers the basic concepts and terms you’ll need to know as you dig deeper into machine learning and AI. Core concepts covered include neural networks, activation functions, loss functions, optimizers, regularization, recurrent neural nets, and convolutional neural nets. This primer is the perfect first step for those who want to know more about deep learning, how it works, and its impact throughout the computer science field.

Course Specifications:

• Level: Beginner
• Cost: Free

• Contains: 

• 1.5 hours of YouTube Video

• Certificate of Completion: No

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2. The Basics of Deep Learning - Fundamentals of Neural Network (Udemy)

An introductory deep learning course, this Udemy class includes online video content, instructor Q&A, and direct messages. The course content includes inspiration for deep learning, critical deep learning concepts, improving the model, the convolutional network, the recurrent network, and word representation. This course isn’t just for developers but also for business managers, AI enthusiasts, and those representing the AI business — such as marketers working for a machine learning company. 

Course Specifications:

• Level: Beginner
• Cost: Free

• Contains: 

• 7 Sections
• 7 Lectures
• 1 hour 45 minutes of content

• Certificate of Completion: Yes

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3. Yann LeCun’s Deep Learning Course at CDS (NYU)

The Yann LeCun Deep Learning Course is known to many as the best deep learning online course for those looking into the latest techniques and strategies for machine learning and artificial intelligence. This course covers supervised and unsupervised learning, metric learning, embedding methods, natural language processing, speech recognition, and applications within the computing industry. 

The entire course is a mix of lectures and practical exams. This is a high-level course that is intended for those who already have a strong background, but the materials are made free online. Students can talk to instructors directly through Reddit and Discord for easier access. 

That being said, those who attend online through free course materials won’t get the credits that those who attend through the university (NYU) would.

Course Specifications:

• Level: Advanced
• Cost: Free

• Contains: 

• 15 weeks of lecture 
• Instructor-guided practicum

• Certificate of Completion: No

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4. Artificial Intelligence: The Big Picture of AI (PluralSight)

How will artificial intelligence impact the average person? In this PluralSight course, artificial intelligence is looked at as a mechanism for economic and social change. How will data-driven AI technologies impact jobs? How will they impact the IT industry? This course is perfect for non-programmers and non-developers looking to understand more about AI, how it works, and what its consequences will be on society. 

Course Specifications:

• Level: Beginner
• Cost: $299 (PluralSight Library)

• Contains: 

• 7 Sections
• 1 hour 15 minutes of content

• Certificate of Completion: No

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5. Practical Deep Learning for Coders (Fast.Ai)

This course is designed to provide practical deep learning knowledge for programmers. It doesn’t include a lot of math or data — but it does cover the basics. Natural language processing, computer image processing, medicine, biology, image generation, and more are all covered through this freely accessible course. Students can purchase the book or interact with it through Jupyter Notebooks. This is an excellent series of lessons for those who want to learn more about deep learning at their own pace.

Course Specifications:

• Level: Beginner
• Cost: Free

• Contains:

• 8 Lessons
• Interactive Jupyter Notebooks

• Certificate of Completion: No

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6. Artificial Intelligence: Implications for Business Strategy (MIT)

This MIT deep learning course is a short online course that’s designed to give professionals insights into how artificial intelligence can improve business strategies. It’s aimed at helping professionals glean critical insights into how artificial intelligence could improve their operations. While the course is a little more expensive than most, it’s flexible and comes with multiple payment options. It’s the perfect deep learning crash course for non-programmers and non-developers.

Course Specifications:

• Level: Beginner
• Cost: $3,200

• Contains: 

• 6 Modules
• 6 Weeks of Learning
• Personalized Online Learning Experience

• Certificate of Completion: Yes

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7. Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate (Coursera)

Want to learn more about cloud computing as a cloud computing professional? If you’re already a cloud expert and a machine learning engineer, this Google Deep Learning Course will help you advance in your career. This in-depth course covers the machine learning engineer role, how to design and build machine learning models, and how to acquire the Professional Machine Learning Engineer certification. This is an intermediate-level course that takes about eight months to complete; the perfect deep reinforcement learning course for those looking to find another career path.

Course Specifications:

• Level: Intermediate
• Cost: $39/month (Coursera Library)

• Contains: 

• 9 Courses of Material
• 8 Months of Coursework
• Certificate of Completion: Yes

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8. Deep Learning Specialization (DeepLearning.AI)

Offered by DeepLearning.Ai, this Coursera deep learning course helps students become machine learning experts. Students build and train neural networks, identify key architecture parameters, build neural networks, use neural transfer, assess and analyze variance, and work with natural language processing. This flexible course has about five months to complete and digs deep into machine learning and data science, requiring intermediate Python skills and basic programming knowledge.

Course Specifications:

• Level: Intermediate
• Cost: $39/month (With Coursera Library)

• Contains: 

• 5 Sections
• Neural Networks and Deep Learning
• Improving Deep Neural Networks
• Structuring Machine Learning Projects
• Convolutional Neural Networks
• Sequence Models
• 5 Months to Complete

• Certificate of Completion: Yes

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9. Fundamentals of Google AI for Web-Based Machine Learning (edX)

In this exciting class, students are walked through the basics of artificial intelligence, machine learning, and applied AI from Google experts. Students will learn about the TensorFlow.js library, machine learning in JavaScript, existing machine learning models, and how to create their own models. By the end of the program, students will create Python or TensorFlow.js AI models and run them through a web browser. This remarkable program is targeted mainly toward full-stack developers.

Course Specifications:

• Level: Intermediate
• Cost: $398
• Contains: 
• 2 Skill Building Courses
• Google AI for Anyone
• Google AI for JavaScript developers with TensorFlow.js
• 2 Months of Material

• Certificate of Completion: Yes

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10. Building Advanced Deep Learning and NLP Projects (Educative.io)

Developers with a basic understanding of artificial intelligence, deep learning, and machine learning can learn advanced concepts associated with Natural Language Processing (NLP). Students will learn through hands-on coding environments and projects, which will walk them through the process of developing their own deep learning machines. Fun projects include a Pokemon Classifier, Markov Chain text generation, and Sentiment Analysis using IMDB. Students will be aware of real-world applications for artificial intelligence and NLP.

Course Specifications:

• Level: Advanced
• Cost: $59/month (Educative Library)

• Contains: 

• 57 Lessons
• 10 Quizzes
• 53 Playgrounds
• 75 Illustrations

• Certificate of Completion: Yes

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11. Deep Learning A-Z: Hands-On Artificial Neural Networks (Udemy)

Deep Learning A-Z is built for those who want a deeper understanding of Artificial Neural Networks, how they work, and the practices behind them. Through this course, students will learn about recurrent neural networks, self-organizing maps, Boltzmann Machines, and AutoEncoders. This course is offered by companies such as Nasdaq, Volkswagen, Box, Netflix, and Eventbrite and includes both an introduction to deep learning and a series of downloadable resources. 

Course Specifications:

• Level: Intermediate
• Cost: $84.99

• Contains: 

• 225 Hours of Video
• 5 Downloadable Resources
• 37 Articles

• Certificate of Completion: Yes

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12. Machine Learning with Python: A Practical Introduction (edX)

Offered by IBM through edX, Machine Learning with Python is the ideal course for those who want to get started developing deep learning, machine learning technologies right away. If you’re already a Python expert, you’ll be able to start building machine learning applications after a few lessons. In this course, you’ll learn the difference between supervised and unsupervised methods, and strategies such as classification, regression, clustering, and dimensionality.

Course Specifications:

• Level: Intermediate
• Cost: Free
• Contains: 
• 5 Week Course
• Self-Paced Design
• Certificate of Completion: Additional Fee ($99)

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13. Introduction to Deep Learning (Coursera)

Part of the broader Advanced Machine Learning Specialization, this course is an excellent one for those who want a basic understanding of deep learning, machine learning, and neural networks. Through this course, students will learn about how deep neural networks work, how they are built, and how this framework provides for mechanical “intelligence.” TensorFlow and Keras frameworks are both covered. In-depth knowledge of programming and development is needed, including Python.

Course Specifications:

• Level: Advanced
• Cost: $39/month (Coursera Library)

• Contains: 

• 34 hours of content
• 6 weeks of material
• Final project
• Certificate of Completion: Yes

   

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14. Data Science: Intro to Deep Learning with Python in 2023 (Udemy)

A practical introduction to Python-driven deep learning, this Data Science course covers deep learning algorithms, artificial neural networks, TensorFlow.js, image classification, data analysis, and convolutional neural networks. This course is meant to get students up and running immediately through either the free or paid version of the course. With the paid version, students can access instructor Q&As and direct messaging to instructors. The course itself includes all code files, so programmers can look through them to learn more. 

Course Specifications:

• Level: Advanced
• Cost: Free

• Contains: 

• 1 Hour 54 Minutes of content
• 11 Lectures
• File code
• Certificate of Completion: Yes

  View Course

   

Learning More About Deep Learning and AI

Deep learning, machine learning, neural networks — they are each a discipline unto themselves. Some students may want to enroll in a boot camp or attend an online deep learning course through their college. A deep learning Stanford course through an associated degree path will cover everything you need to know about this new industry, its practical impact, and its broader implications. But many deep learning experts have been able to learn through online materials alone.

It’s an exciting time for deep learning experts. The field of deep learning is moving quite fast, and deep learning is being applied to a variety of industries. 

To learn more about deep learning, consider:

• Programming a deep learning project.
• Reading a few deep learning books.

Taking a course in machine learning.