Deep Learning Introduction

Deep learning is an essential element of data science that encompasses predictive modeling and statistics. If you know deep learning, you open the door to many career opportunities. However, choosing the right course can be difficult with so many options available. To save you the trouble, we’ve compiled a list of the best deep learning courses available online. Get started on your deep learning journey today by reading about our top picks below!

1. Deep Learning A-Z™: Hands-On Artificial Neural Networks by Udemy

This course was created by Ligency Team, Kirill Eremenko, and Hadelin de Ponteves. This is the best deep learning course and here you will know how to make Deep Learning algorithms within Python. Over 342,203 students are enrolled in this course. This course was last updated in October.

Topics Covered in this Course

1. Deep learning
2. Neural networks

Why this course?

You will learn the following things with this course:

• You will learn to apply Artificial and Convolutional Neural Networks.
• You will learn the basics of Recurrent, artificial, and convolutional neural networks.
• You will learn about AutoEncoders and Boltzmann Machines and how to apply them.
• You will learn both supervised and unsupervised deep learning and learn to solve complex problems.

Who is this course for?

It is for people who wish to learn deep learning. This is also for people who know the basics of deep learning and wish to learn about its various fields.  

Course Rating

This course has a rating of 4.5 from 41,307 learners.

Duration

This course has 26 sections, 169 lectures, and a duration of 22 hours and 33 minutes.

2. Deep Learning Full Course (Free Course) | Deep Learning Tutorial for Beginners | (Channel: Simplilearn)

You can find this course on the Simplilearn channel on youtube. This is a comprehensive course on deep learning, which includes all the techniques and concepts. You will first be introduced to the basics and then learn its advanced concepts.

Topics Covered in this Course

1. Deep learning
2. Tensorflow

Why this course?

You will learn the following things with this course:

• You will learn about what deep learning is and its basics.
• You will learn about Tensorflow and its importance in deep learning.
• After this course, you will learn more advanced concepts like training neural and convolutional neural networks.

Who is this course for?

It is for people who don’t know deep learning and wish to become an expert. 

Duration

This course has a duration of 11 hours and 20 minutes. 

3. Machine Learning, Data Science and Deep Learning with Python by Udemy

This course was created by Sundog Education Team and Frank Kane. You will be taught machine learning, Tensorflow, and neural networks here. This is the best machine learning course that you can enrol for. Over 168,695 students are enrolled in this course. This course was last updated in September.

Topics Covered in this Course

1. Deep learning
2. Machine learning
3. Artificial intelligence

Why this course?

You will learn the following things with this course:

• You will learn to use Keras and Tensorflow to make artificial neural networks.
• You will learn to use Polynomial, linear, and multivariate regression to make predictions.
• You will learn to use P-Values and T-Tests to evaluate and design A/B tests.
• You will learn to apply machine learning at a larger scale using Apache Sparks’s MLLib.

Who is this course for?

It is for people with prior Python experience who wish to learn deep learning and its related concepts. Data analysts and technologists will also find this course helpful. 

Course Rating

This course has a rating of 4.5 from 27,974 learners.

Duration

This course has 13 sections, 116 lectures, and a duration of 15 hours and 36 minutes.

4. Intro to TensorFlow for Deep Learning by Udacity

You can find this course on Udacity. This course teaches you to make deep learning applications with Tensorflow. The Tensorflow team and Udavity made this course. In addition, after this course, you will be able to make your own AI applications.

Topics Covered in this Course: 

1. Tensorflow and its fundamentals

Why this course?

You will learn the following things with this course:

• You will learn to make deep learning practically.
• You will learn to make a neural network that can understand articles of clothing from an image.
• You will learn about sequential data using recurrent neural networks and other concepts.  

Who is this course for?

It is an intermediate-level deep learning course, so some prior knowledge is required. 

Duration

You can complete this course in approximately 2 weeks. 

5. Complete Tensorflow 2 and Keras Deep Learning Bootcamp by Udemy 

This course was created by Jose Portilla. Here, you will be taught to use Python, Keras, and Tensorflow 2.0 for deep learning. Over 40,190 students are enrolled in this course. This course was last updated in June.

Topics Covered in this Course

1. Python
2. Tensorflow
3. Num Py

Why this course?

You will learn the following things with this course:

• You will learn deep learning using Tensorflow 2.0.
• You will learn to use Natural Language Processing and RNN to create texts.
• You will learn to utilize deep learning for style transfer. 
• You will learn to make images using Generative Adversarial Networks (GANs).

Who is this course for?

It is for Python developers who wish to learn about Tensorflow 2 for artificial intelligence and deep learning.

Course Rating

This course has a rating of 4.6 from 6,703 learners.

Duration

This course has 13 sections, 116 lectures, and a duration of 19 hours and 12 minutes.

6. Machine Learning & Deep Learning in Python & R by Udemy

This course was created by Start-Tech Academy and is among the best online machine learning courses. You will learn to use Python and R to perform functions like CNN, decision trees, and more. Over 356,973 students are enrolled in this course. This course was last updated in August.

Topics Covered in this Course

1. Machine Learning
2. Deep learning

Why this course?

You will learn the following things with this course:

• You will learn machine learning techniques to solve real-world problems.
• You will learn to do basic statistical operations.
• You will learn machine learning concepts and statistics basics.
• You will learn to carry out ML models in Python.

Who is this course for?

It is for people who wish to pursue a career in Data science. This is also for professionals and statisticians who wish to gain more practical knowledge.

Course Rating

This course has a rating of 4.4 from 4,987 learners.

Duration

This course has 41 sections, 267 lectures, and a duration of 33 hours and 4 minutes.

7. Data Science: Deep Learning and Neural Networks in Python by Udemy

This course was created by Lazy Programmer Inc. You will get a deep understanding of neural network theory using Tensorflow and Python code. Over 50,787 students are enrolled in this course. This course was last updated in October.

Topics Covered in this Course

1. Neural network
2. Deep learning

Why this course?

You will learn the following things with this course:

• You will learn about deep learning and how it works.
• You will learn to make a neural network using softmax.
• You will learn to use Google’s Tensorflow to code a neural network.
• You will learn about various types of neural networks and how they are used to solve different problems.

Who is this course for?

It is for people who are interested in machine learning. It is also for professionals who wish to learn neural networks. 

Course Rating

This course has a rating of 4.7 from 8,703 learners.

Duration

This course has 14 sections, 89 lectures, and a duration of 11 hours and 16 minutes.

Summary

So, these were some best deep learning courses you can find online. Deep learning is a relatively new field, but it has the potential to be a career choice for people. So, you can select any course in this list that you find suitable and start learning deep learning.

Good Luck!!

FAQs 

Q. What is a deep learning course?

An online course deep learning is one where you will be taught deep learning and its basics. In addition, it also includes exercises and quizzes that you can use to test your understanding.

Q. How to get deep learning certificate?

You can get a deep learning certificate by enrolling yourself in a deep learning course. You can use the certificate in your resume, which may help you get a good job.

Q. How to learn deep learning for beginners?

To learn deep learning for a beginner, you can start with the basics and then learn concepts like Python, statistics, linear algebra, and machine learning. After that, you can enroll in an online course as you start learning at any time and your own pace. Finally, you must practice regularly.

Q. How to learn deep learning python?

It is crucial to learn Python if you wish to learn deep learning, as many Python-based libraries like Keras, TensorFlow, and PyTorch are used. Furthermore, Python is a simple language to learn, and after learning it, you would not have many problems understanding deep learning.