The advances made in Artificial Intelligence software within the last decade are astounding. A decent part of this success is derived from deep learning.
As humans, we learn about things around us by observing, and asking, “Why? What? How?” Deep learning is a technique used by machines that replicates this natural biological ability. Essentially, it allows computers to identify inputs through experience. This technique is essential to voice-recognition, automatic driverless vehicles, and facial-recognition software.


If you need some helpful software that can help you flesh out your artificial intelligence software, you require some deep learning!
Today, we’ll explore the top five deep learning courses that can help you build a brilliant AI in no time.

Udemy: Deep Learning A-Z: Hands-On Artificial Neural Networks

For those who are already familiar with Python, and who have an excellent grasp of high school mathematics topics, the Udemy course is a great choice. It offers 22.5 hours of video, viewable at any time. Also, it includes 33 supplemental articles. Once you’ve paid for this class, you have access to it for the rest of your life!

You can access this course from your mobile phone, and even your TV, making it easy to study and learn nearly anywhere. A completion certificate and more excellent knowledge of deep learning are your rewards when you finish. The pace of study is entirely up to you.

This training doesn’t focus heavily on the mathematics behind the operations you will be performing. It’s great for those without a lot of mathematics knowledge, but it can be disappointing for those looking for more in-depth answers. There are teaching assistants available to speak with, but they can take a bit of time to respond to questions. However, if you’re eager to take your time and go slowly with this course, the lag between answers shouldn’t be a problem.

Overall, the Udemy deep learning course is perfect for anyone hoping to learn some of the basics of this technique.

Features:
-Understanding the intuition behind both artificial neural networks and convolutional neural networks.
-Understanding and using AutoEncoders
-Applying artificial neural networks
-Applying self-organizing maps

Perfect For: Beginning Learners

Duration: 22.5 hours+

Price: $199 (On sale now for only $11.99!)

Coursera: Deep Learning Specialization

Immediately, the most attractive aspect of the Coursera class is the fact that it’s free. Nearly all education comes at a price, so it’s refreshing to see a deep learning course without a steep price tag. The flexible schedule is also desirable for those with hectic lives, family responsibilities, and the like.
There is a deadline for sign-up, which changes monthly as the current class begins and finishes. Completion of the Coursera: Deep Learning Specialization training will result in a greater understanding of both artificial neural networks and convolutional neural networks. Besides, students will learn more about how to use TensorFlow and more about the theory of deep learning.
The entire course is split into five units, and there are graded assignments and quizzes to complete. This, of course, helps to reinforce the knowledge earned by participating! A completion certificate is awarded after passing the class, and many students use this new knowledge to further their careers.
The price and flexibility of this course make it an affordable and accessible option for nearly everyone.

Features:
-Learn about deep learning
-Learn about TensorFlow
-Learn about artificial neural networks and convolutional neural networks.
-Learn at your own pace, free of charge.

Perfect For: Intermediate Learners

Duration: 3 months

Price: Free!

edX: IBM’s Professional Certificate in Deep Learning

For some, studying and building an AI is a passion and not a career. But it’s incredibly easy to transition from fun hobby to an exciting job. A certificate from one of the world’s leading technology companies is sure to open plenty of doors for anyone.

The price for this course is not low. But upon completion of the five units, the student is granted a professional certificate. This certificate can assist them in finding a position as a data scientist, machine learning engineer, AI scientist, and much more. The demand for such positions is only increasing as technology continues to involve and improve. The financial outlook for these jobs is fantastic, many with an annual salary of over $100,000.

The IBM class is incredibly comprehensive and equally perfect for beginners and intermediate learners. It covers deep learning basics with Keras, Python, PyTorch, and TensorFlow. After the class, a capstone project allows students to develop a deep learning model. This model can be used as part of the student’s resume. This course is ideal for anyone hoping to kickstart their career.

Features:
-Deep learning basics for multiple languages and software, including Keras, Python, PyTorch, and TensorFlow.
-IBM certified course.
-Great for nearly all levels and types of students.
-Only requires a few hours a week to remain on-pace.

Perfect For: Beginning Learners and Intermediate Learners

Duration: 2-4 months

Price: $445.50

DataCamp: Deep Learning in Python

If you’re in the mood for a snack-sized deep learning class, DataCamp’s Deep Learning in Python may be just what you’re looking for. It is comprised of 17 videos and 50 exercises, which can take as little as four hours to complete. The course is split into four chapters, and the first chapter is available for free.

However, if you’re eager to continue your learning, you must become a subscribed user to DataCamp. This requires either a month-to-month plan, which costs $29 every month or a yearly subscription which comes out to about $24 a month. For those only looking for a singular course, this may be a problem.

Python, one of the most familiar programming languages currently in use, is explored in this class. That’s why it’s a perfect choice for beginners or intermediate learners. Short, sweet, and to-the-point, it won’t consume much of your time or cause you to shake your head in dumbfounded confusion.

Features:
-Only four hours to complete.
-The first lesson is free.
-Covers deep learning in Python.
-Flexible scheduling for studying.
Perfect For: Beginning Learners and Intermediate Learners

Duration: 4 hours

Price: $29 monthly subscription

edureka!: AI and Deep Learning With TensorFlow

Just as with a typical course, the edureka! AI and Deep Learning with TensorFlow course requires you to be available and present at a specific time, two days out of every week, for five weeks. If you cannot adhere to this strict scheduling, then perhaps a different class would be more appropriate for you.

With a heavy focus on TensorFlow applications of AI, this course also covers Python, SoftMax, AutoEncoders, RBM, and Keras.

There are graded assignments, and upon completion of the course, you will receive a certificate with your final grade. It is a reasonably comprehensive class. But because it covers many topics, languages, and types of software, it can be challenging to develop a complete understanding of every topic touched upon.

There is quite a lot of discussion about what deep learning is, what its limitations are, and why you should learn more about it. This type of theoretical discourse is excellent, but it can be irritating to those who are hoping to master practical applications of these subjects.

As such, this training would be better suited to those just getting acquainted with AI, deep learning, and programming.

Features:
-Two hands-on practical application projects.
-Graded assignments and certificate.
-Excellent 24/7 support from customer service and tutors.
-Flexible scheduling and after-class lecture videos available to view.

Perfect For: Beginning Learners

Duration: 5 weeks

Price: $389 (On sale for $350 right now!)

Final Thoughts
There are many deep learning courses from which to choose. The best one for you will depend on a few deciding factors, such as how much time you have to devote to studying, how much money you can afford to spend on a course, and how much programming knowledge you already have.

These three factors can help guide you in the direction of the right deep learning course for you!