Best Deep Learning Courses 2023

Deep Learning is among the most popular terms in the field of Data Science, Machine Learning, and Artificial Intelligence. 

Artificial neural networks are used in deep learning, a machine learning technique, to learn from data. And it’s quite popular right now!

It can be described as a function of Artificial Intelligence that tries to think and work logically like a human brain in processing data and extracting useful information, which helps make final decisions.

Deep Learning helps decision-making and applies to other purposes such as speech recognition, language translation, Object detection, and many more. 

In today’s world, tons of data are generated from every region. More so, the Internet and technology are getting cheaper. As such, they are readily available in the hands of everyone. Hence, Deep Learning is very useful in processing and extracting useful information from big data. This is one of the reasons for its popularity.

Deep Learning can also be described as a subset of Machine Learning as it uses a level of the neural network to complete the process of Machine Learning. In the world of various technologies, there is a professional role in which you have to work with your knowledge of Deep Learning and AI, and that’s the Deep Learning Engineer.

A Deep Learning Engineer is undoubtedly not an entry-level role. So to become a Deep Learning Engineer, one must acquire a specific level of skills, such as the ability to write efficient code in R, Python, and Java, 

Also, you must have practical knowledge of various Machine Learning and Deep Learning frameworks and libraries such as Caffe, Keras, TensorFlow, PyTorch, Theano, etc. And finally, a good understanding of data structure, software design, development, and various soft skills is also expected. 

The Deep Learning Engineer is responsible for analyzing large datasets to extract useful information and insights, training various Machine Learning and Deep Learning models, and managing the infrastructure and pipeline build for code development from scratch to finish. 

The DL engineer is also responsible for supporting and collaborating with other Machine Learning or Deep Learning Engineers to finalize the project.

Now, if you want to become a Deep Learning Engineer but don’t know about the courses, skills, Job role, or salary offered, then you are at the right place and time. So bookmark this page as we will cover every detail of Deep Learning in this post of Best Deep Learning Courses 2023.

Top Deep Learning Courses

Let’s dive into the best Deep Learning courses without further ado.

1.   Deep Learning Specialization | Deeplearning.ai

Deeplearning.ai is offering a deep learning specialization course. It combines five different specialization courses to help you understand the Deep Learning fundamentals and apply them in your professional life. 

The specialization courses are:

1. Neural Networks and Deep Learning.
2. Improving Deep Neural Networks.
3. Structuring Machine Learning Projects.
4. Convolutional Neural Networks.
5. Sequence Models.

You can enroll in the course on Coursera at $49 per month and learn from the best in the industry. You can also enroll in individual courses.

The complete duration of this deeplearning.ai course is sixteen weeks. However, you must dedicate six hours a week to the study.

In addition, the course is created and taught by Dr. Andrew Ng, a global leader in AI and co-founder of Coursera.

Course Details

• Course Duration: 16 Weeks
• Course Pricing: $49/month
• Difficulty: Intermediate
• No. of Students Enrolled: 541,241
• Link to the Course

2.   Udacity Deep Learning Nanodegree Program

Udacity is one of the most popular and trusted online educational platforms. This Nanodegree program teaches you deep Learning and its role in Artificial Intelligence. You will study and apply your deep neural networks to various challenges like image classification, generation, and model deployment.

Also, this program has some practical projects and tasks related to deep Learning, which will develop and enhance your practical knowledge of the subject.

You can enroll and access the entire course for $1225. However, you can also pay $307 per month and access the course part-wise. In addition, the overall duration of the course is 4 months, in which you have to dedicate 12hrs per week to the program for learning after enrollment.

Udacity Nanodegree programs have various advantages, such as World-class instructors, Technical Mentor support, Personal guidance, practical projects, etc. As such, this is a golden opportunity to jump on.

Course Details:

• Course Duration: 4 Months
• Course Pricing: $1225
• Difficulty: Beginner
• Course Rating: 4.7 Stars
• Link of the Course

3.   Datacamp Deep Learning in Python

Datacamp offers a powerful skill track for Deep Learning in Python. This track helps you to understand Deep Learning better and enhance your skills to the next level. 

You will also be working with Keras and PyTorch, neural networks, and deep learning model Workflow. Using Tensorflow, you will build linear regression models and neural networks. This skill track is a combination of 5 courses. They are:

1. Introduction to Deep Learning in Python.
2. Introduction to TensorFlow in Python.
3. Introduction to Deep Learning in PyTorch.
4. Introduction to Deep Learning in Keras.
5. Advanced Deep Learning with Keras.

Datacamp has three different pricing plans for any of its courses. You can choose to take a Personal Standard Plan for $12.42/month, Personal Premium Plan for $33.25/month, or a Free plan to give a try.

The overall duration of the course is 20 hours, with a 4hrs course in a track taught by world-class professionals. This skill track is perfect for beginners to build and enhance their Deep Learning skills and excel in Deep Learning and Artificial Intelligence.

Course Details

• Course Duration: 20 hours
• Course Pricing: $12.42/Month
• Difficulty: Beginner
• No. of Students Enrolled: Over 7,000,000 learners
• Link to the Course

4. Deep Learning A-Z: Hands-On Artificial Neural Networks

This course teaches how to create Deep Learning Algorithms in Python by two Data Science and Machine Learning experts. 

The course comes with a 30-day money-back guarantee. You will understand and learn various concepts of Neural Networks and apply them in practice.

The overall pricing of this course is $115.91, and it has 26 sections in which there are a total of 172 lectures. More so, the overall duration of the course is 22h 37m.

The course has a comprehensive syllabus and is perfect for any beginner or intermediate learner. Also, there are various other courses on Udemy which complement this course. 

Course Details:

• Course Duration: 22 hours 37m
• Course Pricing: $115.91
• Difficulty: Intermediate
• No. of Students Enrolled: 282,830
• Link to the Course

5. Udemy Natural Language Processing with Deep Learning in Python

This course offers a complete guide on deriving and implementing GloVe, word embeddings, word2vec, and sentiment analysis with recursive nets. Lazy Programmer Inc creates this course. 

This course has 13 sections in which there are 95 lectures. The overall duration of the course is 11h 57m covering each of the topics and concepts in detail.

In addition, the price of the Udemy Natural Language Processing with Deep Learning in Python course is $34.34. However, the course requires prior knowledge of Machine Learning and Data Science.

Finally, this is a very detailed course and will help you understand concepts and topics of Neural Networks and NLP with Deep Learning in Python.

Course Details:

• Course Duration: 11 hours 57m
• Course Pricing: $34.34
• Difficulty: Advanced
• No. of Students Enrolled: 38,549
• Link to the Course

6. Udemy Data Science: Deep Learning in Python

This is one of the most in-depth courses in neural network theory. You will learn how to code with pure Tensorflow and Python.

The price is $115.91. However, there is 92% off on this course for a limited time. This course has 14 sections with 89 lectures that will take 11h 6m. But you can learn at your speed of understanding.

It is an in-depth course that teaches the practical workings of Deep Learning. It also teaches how neural networks are built from basic building blocks. So you will code a neural network using Google’s Tensorflow. Aside from that, it teaches you the fundamentals of Deep Learning Data Science in detail.

Course Details:

• Course Duration: 11 hours 6m
• Course Pricing: $115.91
• Difficulty: Advanced
• No. of Students Enrolled: 44,612
• Link to the Course

7. Pluralsight Deep Learning with Keras

Pluralsight Deep Learning with Keras will expose you to both theoretical and practical use of Keras to implement deep neural networks. You will utilize various Keras methods for interconnecting layers to form the structure of Deep neural networks.

PluralSight has standard Monthly, Annual, and Premium pricing plans for their products. In the Monthly plan, you have to pay $20.11 per month to access the entire course library, including over 7,500 courses. 

Also, In the Annual plan, you will have to pay $165 per annum and access courses, paths, and different skill assessments. Lastly, in the premium plan, you will have to pay $246.84 per annum and have access to every feature provided by them.

The overall duration of this 5-star rated course is 2h 33m. Jerry Kurata, Solutions Architect, created it at InStep Technologies. After completing this course, you will master the skills to develop deep neural networks effectively.

Course Details:

• Course Duration: 2 hours 33m
• Course Pricing: $20.11/Month
• Difficulty: Intermediate
• Course Rating: 5 Stars
• Link to the Course

8. edX Hands-on Artificial Intelligence: Professional Certificate in Deep Learning

This is a collection of 6 courses on IBM’s Deep Learning Professional Certificate. In this program, you will learn all the fundamental concepts of Deep Learning, including different Neural Networks for supervised or unsupervised Learning.

The full course or the full program experience is $481.26 for a limited time, while the original price of the complete program is $534.73.

Also, the overall duration of this Professional Certificate in the Deep Learning program is 8 months. So, it is advisable to dedicate at least 4 hours per week to learning the topics and concepts covered in this program.

The tutors or instructors of this program are industry experts from IBM committed to teaching and learning online. At the end of this program, you will also learn about the job market and the annual demand for the roles of Data Scientist. This can help you to achieve your dream career.

Course Details:

• Course Duration: 8 Months
• Course Pricing: $481.26
• Difficulty: Intermediate
• No. of Students Enrolled: Unknown
• Link to the Course

9. LinkedIn Learning Introduction to Deep Learning with OpenCV

In this course, you will better understand Deep Learning for OpenCV, Image and Video classification, YOLOv3, working with blobs in the dnn module, and viewing images and video in OpenCV.

The price of this LinkedIn course is $12.07, with estimated tax excluded. You can also start your free trial for a month on LinkedIn Learning to get an overview of the courses. On the other hand, the overall duration of this course is 49m 4s, and the course has 1 project file and some quizzes to test your understanding.

After completing this course, you will receive a certificate of completion from LinkedIn Learning. Jonathan Fernandes will be your instructor throughout this course; he is a professional consultant focusing on data science, AI, and big data. 

The good news is that you can also access this course on Mobile phones or tablets. 

Course Details:

• Course Duration: 49m 4s
• Course Pricing: $12.07
• Difficulty: Beginner
• No. of viewers: 10,345
• Link to the Course

10. Coursera Introduction to Deep Learning

This course is a part of the Machine Learning Specialization course provided by Coursera. It provides a basic understanding of modern neural networks and their applications in computer vision and Natural language processing and understanding.

You can enroll in this course free and start learning about Deep Learning from basics to intermediate. This course is 100% online, and you can learn it at your schedule and speed. The overall duration of this course is approximately 34 hours. The course comes in English, but there are Korean subtitles.

Upon completing the course, you will earn a certificate of completion of the Introduction to Deep Learning course from Coursera and add it to your portfolio. In addition, you will gain knowledge of Recurrent Neural Networks, Tensorflow, Convolutional Neural Networks, and Deep Learning.

Course Details:

• Course Duration: Approx 34 hrs
• Course Pricing: Free
• Difficulty: Intermediate
•  No. of Students enrolled: 148,466
• Link to the Course

11. Simplilearn Deep Learning Course (with Keras & Tensorflow) Certification Training

In this Deep Learning training and certification course, you will master deep learning concepts and models using Keras and Tensorflow frameworks and implement various Deep Learning Algorithms. You will also be prepared for a successful career as a Deep Learning Engineer.

The overall duration of the course is 34 hours, and learners get the flexibility to choose classes and learn at their speed. In addition, the price of this course is $268.31, which gives you lifetime access to high-quality self-paced e-learning content.

Also, the course has two realistic projects that can help you gain practical knowledge and experience. Finally, you will receive your Simplilearn certificate when you successfully complete the course.

If you want to receive a professional Tensorflow Developer Certificate, you can give the Tensorflow Developer Certificate exam, which will cost $100 for one attempt.

Course Details:

• Course Duration: 34 hrs
• Course Pricing: $238.31
• Difficulty: Intermediate
• No. of Students enrolled: 5876
• Link to the Course

Best Deep Learning Bootcamps

Below are some of the top Deep Learning Bootcamps

1.   Springboard Machine Learning Career Track: Become an ML engineer in six months

Become an ML engineer in a six-month Bootcamp that will prepare you for a successful AI/Machine Learning career. The curriculum of this Bootcamp is split into 9 units, followed by a capstone project and personal career advice.

The price of this program after securing your spot or seat is $2616.12. However, enrolling in this course is quite different as, firstly, you must submit your application, clear the challenge, reserve your spot, and then join the program.

The expected duration of the course is 6 months, working 15 to 20 hrs per week. This AI/ML career track has 500-600 hours of content. You can also complete the course sooner than that if you have proficiency in Python and Statistics.

Some benefits of this Bootcamp include personal mentor support, community teaching assistants, career coaches, springboard student advisors, and like-minded peers, which will boost your career in Machine Learning and Deep Learning.

Course Details: 

• Course Duration: 34 hrs
• Course Pricing: $238.31
• Difficulty: Intermediate
• No. of Students enrolled: 5876
• Link to the Course

2.   Full Stack Deep Learning

In this Full Stack Deep Learning Bootcamp, you will learn production-level Deep Learning from the industry’s top experts. This will help you better understand machine learning models and deploy AI systems in the real world.

It teaches full-stack production deep learning by formulating the problem and estimating project cost, finding, cleaning, labeling, and augmenting data, and troubleshooting and deploying the model at scale.

The price is free, and the overall duration of the course depends on the person. 

Course Details:

• Course Duration: Depends on the person
• Course Pricing: Free
• Difficulty: Intermediate
• No. of Students enrolled: Unknown
• Link to the Course

3.   Machine Learning Data Science and Deep Learning with Python

This Udemy Machine Learning Data Science and Deep Learning with Python is a complete course with hands-on machine learning tutorials with data science, TensorFlow, artificial intelligence, and neural networks.

The price of this course is $115.91. However, this course is offered for just $9.39 for a limited time and comes with a 30 days Money back guarantee.

This course has 12 sections with 111 lectures. Also, the overall duration of the course is 14h 14m. But you can learn at your speed and requirements.

This is a very comprehensive and practical course; you will build artificial neural networks with Tensorflow and Keras. You will also design and evaluate A/B tests using T-Tests and P-Values.

Course Details:

• Course Duration: 14h 14m
• Course Pricing: $9.39
• Difficulty: Intermediate
• No. of Students enrolled: 136,581
• Link to the Course

Best Masters/Universities for Deep Learning

Here are the best Masters/ Universities for deep Learning.

1.   MIT Deep Learning and Artificial Intelligence Lectures

You can visit this page for the lectures on Deep Learning, Deep Reinforcement Learning, autonomous vehicles, and AI given at MIT from 2017 to 2020.

Lex Fridman and some research scientists will be your instructor throughout the lecture.

2.   Stanford CS224n Natural Language Processing with Deep Learning

This course helps you gain knowledge of cutting-edge neural networks for NLP. Lectures will be delivered on Tuesday and Thursday at 4:30 pm Pacific Time in NVIDIA Auditorium.

There are weekly assignments that will improve your theoretical and practical skills. But the assignments can have quizzes and programming problems.

3.   Convolutional Neural Networks for Visual Recognition

This course gives you an in-depth detail of the deep learning architectures with a focus on learning end-to-end models for various tasks, particularly image classification.

The lectures will be delivered on Tuesday and Thursday from noon. Also, some assignments and projects test your skills and increase your practical knowledge.

Free Deep Learning Course for beginners

Here are some Deep Learning free courses for beginners

1.   Udacity Intro to TensorFlow for Deep Learning

This course gives you a practical approach to deep Learning for software engineers and developers. In this course, you will learn how to build Deep Learning applications with TensorFlow.

This course is a path for Machine Learning Engineer Nanodegree programs by AWS. So it will enhance your skillset and boost your chances of getting hired through independent and innovative Learning.

This Udacity Intro to TensorFlow for Deep Learning course is free, as stated earlier. It also has quizzes and rich learning content available. The overall duration of this course is approximately 2 months. But it requires an intermediate skill level.

Course Details:

• Course Duration: Approx. 2 Months
• Course Pricing: FREE
• Difficulty: Intermediate
• No. of Students Enrolled: Unknown
• Link to the Course

2.   Kadenze Academy Creative Applications of Deep Learning with Tensorflow

This course teaches deep Learning and its state-of-the-art approach to building artificial intelligence algorithms. The course will cover all the basic components of Deep Learning, such as Deep convolutional networks, generative adversarial networks, and recurrent neural networks.

More so, it is a free course that requires an intermediate skill level. Also, the overall duration of the course depends on the learner. As such, you can learn at your own pace. In addition, the course 5 sessions with 12 hours of work per session.

Magenta sponsors this course, and the sessions are as follows: 

1. Introduction to TensorFlow
2. Training A Network W/ Tensorflow
3. Unsupervised and Supervised Learning
4. Visualizing and Hallucinating Representations
5. Generative Models

Course Details:

• Course Duration: Depends on the learner
• Course Pricing: FREE
• Difficulty: Intermediate
• Course Rating: 4.5 Stars
• Link to the Course

3.   Learn TensorFlow and Deep Learning without a Ph.D

The course is offered by Google Cloud Platform, giving developers a quick guide and introduction to Deep Learning fundamentals with Tensorflow.

This course is presented by Martin Gormer, Google Cloud Developer Advocate, and is free. Also, the overall duration of this course is 3 hours. 

Learn TensorFlow and Deep Learning without a Ph.D. has eight chapters, and they include: 

1. Introduction; handwritten digits recognition (the simplest neural network)
2. Ingredients for a tasty neural network + TensorFlow basics
3. More cooking tools: multiple layers, dropout, learning rate decay
4. Convolutional networks
5. Batch normalization
6. the high-level API for TensorFlow
7. Recurrent neural networks
8. Google Cloud Machine Learning platform

Course Details:

• Course Duration: Approx. 3 hours
• Course Pricing: FREE
• Difficulty: Beginner
• No. of Students enrolled: Unknown
• Link to the Course

4.   Udemy Basics of Deep Learning

As the name suggests, this course teaches you the fundamentals of Neural Networks. So you get to know the evolution of Deep neural networks and their application in areas like image recognition, natural language processing, etc.

This course is created by Sunil Kumar Mishra, an AI enthusiast, startup mentor, and Author. 

Keep in mind that this well-loaded course is free, and the overall duration of this course is 1 hour and 46 minutes. In addition, this course is for beginners who want to know and learn about Deep Learning.

Also, the course is rated 4.3 stars by more than 10,000 students enrolled in this program, and you can preview the course on the course link.

Course Details:

• Course Duration: 1 hrs 46m
• Course Pricing: FREE
• Difficulty: Beginner
• No. of Students enrolled: 16,711
• Link to the Course

5.   Google AI

You can learn with Google AI whether you are just a beginner or a professional. You will find helpful exercises and information which will develop your skills.

The course offers various types of content on Artificial Intelligence and its related technologies, which are worth checking.

Course Details:

• Course Duration: Depends on Learner
• Course Pricing: FREE
• Difficulty: Beginner
• No. of Students enrolled: Unknown
• Link to the Course

6. Fast.io Practical Deep Learning for Coders

In this practical course, along with the book, you will learn the use of Deep Learning in different areas NLP, Computer Vision, Medicine, Biology, Image generation, Recommendation systems, Playing games, Robotics, and other applications.

This learning path, along with the book, is free of cost. Also, it depends on you how much time you will take to complete the course.

In this course, you will be using PyTorch and fastai. At the end of the course, you will learn to train models that achieve state-of-the-art results; you will learn to turn your models into web applications and deploy them.

Course Details:

• Course Duration: Depends on the learner
• Course Pricing: Free
• Difficulty: Intermediate
• No. of Students enrolled: Unknown
• Link to the Course

Best Deep Learning Books

Get to know some of the best Deep Learning books in this section.

1.   Deep Learning for Coders with Fastai and PyTorch: AI Applications without a PhD

This book gives you a step-by-step dive into the world of Deep Learning and its theory to understand the behind-the-scenes algorithms.

Jeremy Howard and Sylvain Gugger are the authors of this book, and it’s a complete hands-on guide to demonstrate programmers using PyTorch and fastai.

Find out more or buy this book

2.   Deep Learning with Python

This book introduces Deep Learning using Python and the powerful Keras library.

Some insights into the books:  

• Deep Learning from first principles.
• Setting up your deep-learning environment.
• Image-classification models.
• Deep Learning for text and sequences.
• Neural style transfer, text generation, and image generation.

Find out more or buy this book.

3.   Deep Learning (Adaptive Computation and Machine Learning Series)

The book gives an introduction to a broad range of topics in deep Learning. It covers the mathematical and conceptual background, various deep learning techniques used in industry, and the research work.

The mathematical and conceptual background covered in this book includes all the relevant concepts in linear algebra, probability, information theory, numerical computation, and machine learning.

Find out more or buy this book

4.   Deep Learning and the Game of Go

This book teaches you how to apply the power of Deep Learning to complex reasoning tasks by building a Go-playing AI.

Max Pumperla and Kevin Ferguson are the authors of this book; they are experienced Deep Learning specialists skilled in distributed systems and data science.

Some of the insights of this book: 

• Build and teach a self-improving game AI
• Enhance classical game AI systems with deep Learning
• Implement neural networks for deep Learning

Find out more or buy this book. 

Deep Learning Youtube Tutorials

1. 3Blue1Brown – Deep Learning
2. Deeplearning.ai
3. MIT Introduction to Deep Learning

Deep Learning Blog posts

1. OpenAI
2. Spinning Up in Deep RL!
3. David Silver

How to Choose a Good Deep Learning Course and Become a Successful Deep Learning Engineer

Machine learning or Deep learning engineers are becoming popular tech roles as they work on the latest technologies with a reasonable salary.

However, to become a Deep Learning engineer, you need to have experience in the field of software engineering and development.

So you can take advantage of any of the courses mentioned in this post for theoretical and practical knowledge. Please keep in mind that you will only understand the concepts if you do practical projects. The more you work on projects, the more your understanding will increase. 

After gaining confidence in your knowledge of Deep Learning, it’s time for you to start your interview preparation. Again some courses can guide you to perform your best in any of the Machine Learning/ Deep Learning interviews. But you can also do some specialization courses to get an edge over others.

There are various blog posts, tutorials, Handbook, and courses on these posts which can help you become a successful Deep Learning Engineer. So take advantage of them now!

The job role of a Deep Learning Engineer

Deep Learning Engineers are expected to have good knowledge of Machine learning and Deep Learning. Deep Learning Engineers use Deep Learning platforms and algorithms to perform specific tasks and advance further in Artificial Intelligence.

Also, they are responsible for developing systems that can efficiently transfer data and write or implement programming codes for the parts of neural networks to operate accordingly.

Deep Learning Job and Salaries

The Job Market for Machine Learning and Deep Learning engineers is ever-growing. These fields are related to Artificial Intelligence which is believed to be future technology. 

As a result, every big MNC and even startup is looking for an experienced or well-versed Deep Learning or Machine Learning Engineer.

Thus the average salary of a Deep Learning Engineer in the US market is $182,719, according to indeed.com. It is also one of the highest-paid salaries in the information technology industry. 

Deep Learning Engineers are also paid well in other parts of the world. For example, the average salary of a mid-level Deep Learning Engineer in the Indian market is around Rs 7 to 12 LPA. But remember that the salary figure depends on the individual’s skills and experience.

Conclusion

Deep Learning engineer is a respectful position in the tech industry. But there is no shortcut to becoming a Deep Learning engineer. Therefore, you must have the required educational qualification and a decent level of experience in the field of Software engineering and development. 

Also, having an excellent practical and theoretical knowledge of Deep Learning and Machine Learning is a must; you can gain it from any of the resources provided here. Keep in mind that salaries for Machine learning and Deep Learning jobs in Indian markets are still higher than the market average.

Suppose you are a Machine learning and Deep Learning enthusiast and love to explore technologies related to Artificial Intelligence. In that case, you should study to get the role of Deep Learning Engineer. This would be one of the best career options for any tech lover.

Frequently Asked Questions (FAQs)

More information on deep Learning is provided below.