Deep Learning courses

635 Courses

Udemy

Theoretical Foundations of AI in Cybersecurity

Discover the transformative role of artificial intelligence in cybersecurity with our comprehensive course, "Theoretical Foundations of AI in Cybersecurity." Offered by Udemy, this course dives into critical theoretical insights and advanced techniques essential for fortifying cybersecurity measures. Delve into the intricate world of AI, cov.

Udemy

AWS Skill Builder

Fundamentals of Machine Learning and Artificial Intelligence (Português)

Descubra os principais conceitos de Machine Learning e Inteligência Artificial com este curso oferecido pelo AWS Skill Builder. Mesmo que os títulos dos cursos sejam apresentados em inglês a partir de 28 de março, você ainda pode acessar as descrições em português, facilitando a busca por informações no seu idioma preferido. Navegue por várias.

AWS Skill Builder

Fundamentals of Machine Learning and Artificial Intelligence (Español LATAM)

Descubre los Fundamentos de Aprendizaje Automático e Inteligencia Artificial con este curso impartido en español para la comunidad LATAM. Aunque los títulos de los cursos cambiarán exclusivamente al inglés después del 28 de marzo, las descripciones detalladas seguirán estando disponibles en tu idioma preferido, permitiéndote consultarlas sin in.

AWS Skill Builder

FutureLearn

Artificial Intelligence for Healthcare

Join our comprehensive course on the transformative power of artificial intelligence in healthcare. Over eight weeks, learn how AI is reshaping healthcare into a data-driven industry. Discover advances in diagnostics, personalised medicine, and robotic surgery, focusing sharply on ethical considerations and modern challenges within healthcare..

FutureLearn

Artificial Intelligence for Everyone

Artificial Intelligence for Everyone - Universiti Malaya Embark on an enlightening journey with Universiti Malaya's eight-week course, designed to equip beginners with a robust understanding of artificial intelligence (AI). This comprehensive program will guide you through crucial concepts including machine learning, natural language processing (.

FutureLearn

Coursera

AI ML with Deep Learning and Supervised Models

Join the AI ML with Deep Learning and Supervised Models specialization to build a career in AI, machine learning, and deep learning. Offered by Coursera, this program provides in-depth training in key AI concepts and machine learning techniques. Through this course, gain proficiency in: AI and ML Fundamentals: Explore AI principles.

Coursera

Treehouse

(UPI) Chapter 19: AI in Cybersecurity Course (How To)

Chapter 19 offers insights into the integration of AI techniques, specifically focusing on deep learning models such as Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs). This module highlights how these models significantly improve malware detection capabilities by analyzing both static and dynamic features, thereby e.

Treehouse

edX

Generative AI Engineering

The generative AI market is on track to grow at an impressive 46% CAGR until 2030, according to Statista. With the demand for professionals skilled in generative AI engineering skyrocketing, this Generative AI Engineering Professional Certificate is perfect for aspiring generative AI engineers, AI developers, data scientists, machine learning engin.

edX

IBM Applied AI Developer

The IBM Applied AI Developer Professional Certificate provides essential skills for aspiring AI developers, perfectly aligning with the 92% of companies planning to boost their AI investments over the coming years (McKinsey). This course equips you with the expertise to create AI-driven applications, virtual assistants, and chatbots, all within a s.

edX

Foundations of AI

In today's fast-paced world, 71% of executives are eager to hire candidates with AI skills, making it crucial to stay informed about the evolving landscape of artificial intelligence. This IBM Professional Certificate is crafted to provide a robust understanding of AI's core principles and practical applications within just 9 weeks. Ideal for profe.

edX

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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:

Face recognition by the DeepFace system is about 97%, and this result is about the same as that of the average person.

Imitation of human speech by the WaveNet system. This is not reading the text, but composing sentences with accents, without errors in stress and without unnatural pauses.

Making medical diagnoses. For example, determining diabetic retinopathy from photographs of the eyes. The technology is already being used in US medical institutions.

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:

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.

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.

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.

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!