Well-known websites like Udemy, Coursera are offering free deep learning courses for beginners.

If you're seeking for free online resources to learn about deep learning and how to develop AI, these free deep learning courses might assist beginners. These free courses were produced by professionals and trusted by thousands of individuals who wished to study deep learning on Udemy, Coursera, edX, and Pluralsight. The great thing about today's world is that online artificial intelligence, machine learning, and deep learning courses are growing by the day, and they cover not just artificial intelligence but also its subsets such as machine learning and deep learning.

Basics of Deep Learning (Offered by Udemy)

Deep learning is a branch of artificial intelligence that involves the creation of neural networks that imitate the human brain to tackle complicated tasks such as face and object recognition. This course will teach you the fundamentals of this subject with no prior knowledge required. Beginning with the basics and essential ideas of this discipline known as deep learning, you will go to practical courses in which you will discover how to enhance deep learning models such as accuracy.

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Neural Networks and Deep Learning (Offered by Coursera)

This is perhaps one of the most well-known and successful deep learning courses available on the Coursera platform. This course has over 900,000 students enrolled, which is ridiculous, and 32% of participants say they have begun a new profession as a result of completing it. This course is part of Andrew Ng's deep learning specialization on Coursera, which he and his DeepLearning.ai firm established. It paves the road for you to obtain the information and abilities you'll need to apply machine learning to your work, advance your technical career, and take the first step into the AI world. This course begins with the creation of basic neural networks and knowledge of their essential parameters. After that, you'll try out various methods like hyperparameter tweaking to improve the performance of neural networks and how to identify faults in machine learning systems. You'll also learn how to build a convolutional neural network for object recognition and working with text input.

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Applied Deep Learning: Build a Chatbot – Theory, Application (Offered by Udemy)

On Udemy, there's another fantastic free, hands-on deep learning course. This 6-hour course is comparable to any paid course and may be used to understand how Chatbots function and how to program them in Python and PyTorch. This course will show you how to use deep learning to solve problems. Because this is an intermediate-level course, you should have a basic understanding of deep learning and Neural Networks.

This is one of the free deep learning courses which will teach you the following:

• Discover how Sequence Modeling works.
• Learn how Chatbots function from the ground up.
• Learn how RNNs and LSTMs operate theoretically.
• Learn PyTorch from the ground up.
• How to use PyTorch to create a chatbot
• Understand the principles behind various Sequence Modeling Applications.

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Deep Learning Crash Course for Beginners (Offered by FreeCodeCamp YouTube Channel)

In FreeCodeCamp's YouTube channel, there's a good little free crash course on deep learning. If you're new to the deep learning area, this course will provide you an overview of what deep learning is and how you can use it to address real-world issues. This course was created by Jason Dsouza, and it will teach you the fundamentals of deep learning without requiring you to write any code. You will master the essential ideas and vocabulary of deep learning, a sub-branch of machine learning, in this course, which is meant for absolute novices with no programming expertise.

This deep learning crash course covers the following topics:

What is deep learning and How Does It Work?

• Neural Networks: An Overview
• What is the learning process for neural networks?
• How core terminologies are used in deep learning?
• Activation functions, lose functions, and optimizers
• Supervised, unsupervised, and reinforcement learning
• Fully connected feedforward neural nets, recurrent neural networks, and convolutional neural nets.

Data Science: Intro to Deep Learning with Python In 2021 (Offered by Udemy)

This is a beginner-level Python course for building deep learning algorithms. This 2-hour session is ideal for beginners who want to learn Python programming and deep learning.

This course will teach you the following:

• Understand what artificial neural networks are and how they operate.
• How to build artificial neural networks with the help of Tensorflow
• How deep learning can be used to classify images and data
• How to incorporate convolutional neural networks into your daily routine.

In 2021, over 2500 students have already registered for this course to master deep learning using Python.

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Amazing AI: Music Editing with Deep Learning (Offered by Udemy)

On Udemy, there is another excellent course for learning about AI and deep learning. This is a brief course with only 30 minutes of information, but it is fascinating and valuable.

This course will teach you the following:

• How to divide any music into many pieces using the Spleeter library?
• How to edit music using deep learning?
• How to develop in Python using Google Collab?

This course has already attracted over 6000 students, and it now has a 4.7 rating, which is excellent.

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Deep Learning Specialization (Offered by Coursera)

With Andrew Ng himself teaching the topic, this is certainly one of the most sought-after deep learning certificates. This certification course will teach you the fundamentals of deep learning, how to create neural networks, and how to manage machine learning projects. Real-time case studies will include, among other things, sign language reading, music creation, and natural language processing. Along with the theory, you'll learn how to put it all together with Python and TensorFlow.

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Machine Learning with Python (Offered by edX)

Machine learning, like deep learning, is a subset of artificial intelligence that operates by utilizing built-in algorithms that can learn via experience. This IBM-created course will teach you how to use the Python programming language to learn more about this area. You'll begin by studying this science and its many models, including supervised and unsupervised learning. After that, you'll learn about linear regressions and classification techniques like decision trees and logistic regression. After that, you'll learn about unsupervised learning and how to create a recommendation system.

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