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Deep Learning courses

487 Courses

California Institute of Technology University of California, Santa Cruz

Math for AI beginner part 1 Linear Algebra

Embark on your journey into the realm of artificial intelligence (AI) with "Math for AI Beginner Part 1: Linear Algebra," offered by the University of California, Santa Cruz on Coursera. This course is meticulously designed for beginners to grasp essential concepts such as machine learning, deep learning, and support vector machines, all of which p.
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provider Coursera
pricing Free Online Course (Audit)
duration 7-8 hours
sessions On-Demand
California Institute of Technology Université de Montréal

Post Graduate Certificate in Natural Language Processing

Embark on a transformative journey with the Post Graduate Certificate in Natural Language Processing offered by the Université de Montréal, available on Coursera MasterTrack. This comprehensive program is designed for college graduates and working professionals eager to delve into or specialize in the dynamic field of natural language processing (N.
provider Coursera  MasterTrack
pricing Paid Course
duration 24 weeks, 7 hours a week
California Institute of Technology Université de Montréal

Post Graduate Certificate in Deep Learning for Computer Vision and Extended Reality

Title: Post Graduate Certificate in Deep Learning for Computer Vision and Extended Reality Description: Dive into an immersive learning journey with the Post Graduate Certificate in Deep Learning for Computer Vision and Extended Reality, offered through a partnership between Université de Montréal and Coursera MasterTrack. This programme is meticul.
provider Coursera  MasterTrack
pricing Paid Course
duration 24 weeks, 6-8 hours a week
California Institute of Technology Udacity

Advanced Computer Vision and Deep Learning

Title: Advanced Computer Vision and Deep Learning Description: Immerse yourself in the cutting-edge realm of AI with our comprehensive course tailored to teach you the application of deep learning architectures to computer vision tasks. This course not only covers the basics but dives deeper into how Convolutional Neural Networks (CNN) and Recurren.
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provider Udacity
pricing Free Online Course
sessions On-Demand
California Institute of Technology University System of Maryland

Making Evidence-Based Strategic Decisions

Making Evidence-Based Strategic Decisions: Dive into the essence of making informed business decisions in this comprehensive course offered by the University System of Maryland on edX. Understand what constitutes a solid business decision and learn how to merge effective data analytics with forward-thinking scenario planning. This course reimagines.
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provider edX
pricing Free Online Course (Audit)
duration 4 weeks, 2-3 hours a week
sessions On-Demand
California Institute of Technology Udacity

Building Generative Adversarial Networks

Join us for an unparalleled learning experience in Building Generative Adversarial Networks. This course, offered by Udacity, provides an exceptional opportunity to understand and implement Deep Convolutional GANs (Generative Adversarial Networks) to create lifelike images. Under the guidance of Ian Goodfellow, the pioneering mind behind the invent.
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provider Udacity
pricing Free Online Course
sessions On-Demand
California Institute of Technology edX  Professional Certificate

Foundations of AI

Explore the dynamic field of Artificial Intelligence (AI) with the "Foundations of AI" Professional Certificate course provided by edX. This program unveils the mystique surrounding AI, which is transforming industries and becoming an integral part of our daily lives. Ideal for individuals from various backgrounds—whether you're an industry profess.
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provider edX  Professional Certificate
pricing $297.00
duration 14 weeks, 2-4 hours a week
California Institute of Technology Udemy

Artificial Neural Networks (ANN) with Keras in Python and R

Delve into the world of Deep Learning with our comprehensive course on Artificial Neural Networks (ANN) provided by Udemy. This dynamic course is designed to help you master the construction of Neural Networks using the powerful TensorFlow 2.0 and Keras libraries in both Python and R programming languages. Whether you're interested in advancing you.
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provider Udemy
pricing Paid Course
duration 8 hours 37 minutes
sessions On-Demand
California Institute of Technology LinkedIn Learning

AI The LinkedIn Way: A Conversation with Deepak Agarwal

Join us for an enlightening session titled "AI The LinkedIn Way: A Conversation with Deepak Agarwal." Dive into the intriguing world of artificial intelligence as Deepak Agarwal, the esteemed Vice President of AI at LinkedIn, shares his insights. This conversation will cover a variety of topics, including the pivotal role of AI at LinkedIn, invalua.
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provider LinkedIn Learning
pricing Free Trial Available
sessions On-Demand
California Institute of Technology Coursera

AI-Powered Chest Disease Detection and Classification

Welcome to our engaging workshop on AI-Powered Chest Disease Detection and Classification. Dive into the transformative world of Artificial Intelligence (AI) as it reshapes healthcare and medicine, influencing areas like medical imagery, drug research, and genome development. Discover the power of deep learning, a method surpassing traditional tech.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand

Artificial intelligence is moving towards becoming on the same level as the living human mind. In such dangerous proximity to the execution of one of the futurological scenarios, it becomes a little scary, but at the same time very interesting. Artificial intelligence is nurtured by machine learning specialists. In the last decade, the deep learning method has been developing, and its results are already impressive.

What is deep learning?

“Deep learning” – literally “deep learning”. This is about artificial intelligence and increasing its abilities through training, based not on artificial codes, but on principles similar to the development of human intelligence. Deep learning methods make it possible to make machines self-learning.

The term itself and developments in this area appeared 40 years ago, but until 2012 they could not be applied in practice, as they were limited by insufficient technical capacity. Now there are already published works by the pioneers of deep learning, and textbooks and training courses in this specialty are gradually appearing.

Deep learning on your fingers: The ability of a machine to find an answer using calculations is called artificial intelligence. A machine can be taught to learn independently by building appropriate algorithms - this is called machine learning. With this approach, coded algorithms will no longer be needed to solve problems. The process of acquiring and using skills imitates human thinking and is called deep learning.

What tasks can be performed using deep learning right now?

If at the dawn of automation machines learned to do mechanical work for humans, now machines are learning to do routine intellectual work for us. The further progress we make, the more tasks we can shift to them, freeing up time for what really matters.

Officially, the main task of deep learning is the automation of complex tasks in various areas of human activity. It's like a computer, only of a different century and a different level.

But of particular interest is the neural network’s assistance in creating programs for solving cognitive problems.

Enough general phrases, let's move on to examples:

It’s hard to even imagine what awaits us in the future if people outside of IT have just heard about deep machine learning, and it has already produced such amazing results.

Why study deep learning?

To earn twice as much as ordinary IT specialists. Progress in the field of information technology is not just walking, but actually running, and it’s time to benefit from it. The sphere is not yet oversaturated, and oversaturation will not happen soon. Still, creating neural networks is not as simple as filing nails or maintaining Instagram accounts. But now is the time to start studying in order to develop along with your specialty and, perhaps, soon become someone who develops it.

Deep learning courses that currently exist are divided into four categories. Decide for yourself which one is for you:

  1. Trainings are highly specialized classes for practicing specific skills. Suitable for those who need to form an understanding of the basic principles of machine thinking.

  2. Long courses - for AI specialists and those involved in database analysis. Long-term deeplearning ai courses are not for everyone and require patience and time.

  3. University programs - for maximum immersion in the subject. They may be too difficult for beginners, although the application of effort will give results that should not be expected from short courses.

  4. A short best deep learning course on technology in business - general information for managers who will not be doing it themselves, but need to have an understanding of the subject.

You will have to put in a lot of effort, but the result is worth it. Just for fun, you can look at vacancies for deep learning specialists on sites with job offers and evaluate upcoming prospects. Not everyone needs deep learning experience yet, and soon all the sweet jobs will require several years of practice. So, if you have the ability to train soulless machines that are almost equal to us in intelligence, hurry up to take up vacant positions after a deep learning online course from AI Eeducation!