9 Best Deep learning Courses to Learn Online in 2022

Are you interested in learning Deep learning? Well, this is the right place for you, where you will find the best high-quality training and courses for Deep learning.

Our experts have reviewed a lot of courses and classes in order to pick this list of the Best Deep learning Online Training, Courses for 2022. These resources are great to enhance your Deep learning knowledge and skills and potentially earn a certification to boost your resume.

How We Pick the Best Online Courses to learn Deep learning in 2022

We explored the top tier Online training and courses platforms like Udemy, Coursera, LinkedIn Learning, Pluralsight, Udacity, and more to find out which:

* Courses are the most comprehensive.

* Courses and classes that are getting the most positive reviews and ratings.

* Courses that have the largest number of students.

We Also checked the course instructor’s experiences and reviews, course duration, and other criteria. Then, after careful examination, we came up with this top list of Deep learning courses online.

The following best online courses and trainings will help you to learn Deep learning from the best instructors in the field, this can be clearly seen from the student’s reviews.

The list contains both free and paid best Deep learning courses. some of them will provide you a completion certificate, which can be published on your LinkedIn profile and on your resume.

1- Deep Learning Specialization

Author: Andrew NgTop InstructorAndrew Ng is rated among the top instructors on Coursera.

Description: The Deep Learning Specialization will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge artificial intelligence technology.

Summary

Platform: Coursera
Language: English
Duration: Approximately 5 months to complete
122918 reviews

4.9

2- Deep Learning A-Z™: Hands-On Artificial Neural Networks

Author: Ligency I Team

Description: Two Machine Learning & Data Science experts will show you how to use Python to create Deep Learning Algorithms. There are templates included. As seen on a website. Artificial intelligence is growing fast.

There is no doubt about that. A game where intuition plays a key role is where AlphaGo beat the World champion at Go. The more complex the problems are, the more they need to be solved. Artificial intelligence is powered by Deep Learning because it can solve complex problems.

Summary

Platform: Udemy
Language: English
Duration: 22 h 38m
40279 reviews

4.6

3- Machine Learning, Data Science and Deep Learning with Python

Author: Sundog Education by Frank Kane

Description: Data science, artificial intelligence, and neural networks are included. Extra content on generative models has been updated. This data science course will show you how to use machine learning and artificial intelligence to extract meaning and insights from massive data sets. Data Scientists make an average salary of $120,000 according to Glassdoor and Indeed. The average is just that. It’s not just about money, but also interesting work.

This course will teach you the techniques used by real data scientists and machine learning practitioners in the tech industry and prepare you for a move into this hot career path. Most of the topics include hands-on Python code examples you can use for reference and practice, as well as over 100 lectures and 15 hours of video. I have 9 years of experience at Amazon and I will guide you through what matters and what doesn’t.

Summary

Platform: Udemy
Language: English
Duration: 15 h 36m
27195 reviews

4.6

4- Deep Learning Prerequisites: The Numpy Stack in Python (V2+)

Author: Lazy Programmer Inc.

Description: The Matplotlib stack is used to prepare for deep learning, machine learning, and artificial intelligence. You are welcome. Prerequisites are Deep Learning, Machine Learning, and Data Science. People want to learn deep learning and data science, so they take these courses, but they get left behind because they don’t know enough about the Numpy stack in order to turn those concepts into code. Even if I write the code in full, it is still hard to read.

Summary

Platform: Udemy
Language: English
Duration: 6 h 8m
19986 reviews

4.6

5- Complete Guide to TensorFlow for Deep Learning with Python

Author: Jose Portilla

Description: You can learn how to use the Deep Learning Framework. Problems can be solved with cutting-edge techniques. The Complete Guide to TensorFlow for Deep Learning is here. The course will show you how to use the framework to create artificial neural networks. The goal of the course is to give you an easy-to-understand guide to the complexity of the framework.

In this course, we show you the latest techniques in deep learning, as well as a complete guide to using the framework as intended. This course is designed to balance theory and practical implementation, with complete jupyter notebook guides of code and easy-to-reference slides and notes. We have a lot of exercises to test your new skills.

Summary

Platform: Udemy
Language: English
Duration: 14 h 9m
16426 reviews

4.5

6- Data Science: Deep Learning and Neural Networks in Python

Author: Lazy Programmer Inc.

Description: The most in-depth look at neural network theory for machine learning with both pure Python and Tensorflow code. You will learn how to build your first artificial neural network using deep learning techniques. We take the basic building block and use python and NumPy to build neural networks right out of the gate.

The materials for this course are free. We derive the very important training method called backpropagation using first principles when we extend the previous binary classification model to multiple classes. I show you how to code backpropagation in the slow way and the fast way. Next, we use a neural network.

Summary

Platform: Udemy
Language: English
Duration: 11 h 13m
8297 reviews

4.5

7- Deep Learning

Author: Udacity Instructors

Description: Neural networks can be used for image recognition, sequence generation, and more.

Summary

Platform: Udacity
Language: English
Duration: 4 months
3342 reviews

4.7

8- TensorFlow 2 for Deep Learning Specialization

Author: Dr Kevin Webster

Description: This Specialization is for machine learning researchers and practitioners who want to develop practical skills in the popular deep learning framework.

Summary

Platform: Coursera
Language: English
Duration: Approximately 4 months to complete
436 reviews

4.8

9- Deep Learning: Image Recognition

Author: Adam Geitgey

Description: Thanks to deep learning, image recognition systems have improved and are now used for everything from searching photo libraries to generating text-based descriptions of photographs.

This course will teach you how to build a deep neural network that can recognize objects in photographs. It is possible to adjust state-of-the-art deep neural networks to recognize new objects without retraining the network. Cloud-based image recognition can be used as an alternative to building your own systems. You can learn how to build and deploy your own image recognition system.

Summary

Platform: Linkedin
Language: English (English)
Duration: 1h 43m
258 reviews

4.6
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