Deep Learning courses

632 Courses

edX

Foundations of AI

71% of executives say they prefer to hire a candidate with AI skills (Forbes); the need to get up to speed with AI has never been more critical. This IBM Professional Certificate gives you a practical understanding of the core concepts and real-world application of AI, plus job-ready skills using gen AI in just 9 weeks. Whether you’re an experienc.

edX

Generative AI for Everyone

97% of employers expect to benefit from using generative AI (Source: Access Partnership survey for Amazon Web Services). Organizations need individuals who know how to automate tasks, speed up research, analyze data swiftly, and create original content using gen AI. This generative AI Professional Certificate is ideal for anyone looking to build i.

Harvard University

Tiny Machine Learning (TinyML)

In this exciting Professional Certificate program offered by Harvard University and Google TensorFlow, you will learn about the emerging field of Tiny Machine Learning (TinyML), its real-world applications, and the future possibilities of this transformative technology. TinyML is a cutting-edge field that brings the transformative power of machine.

edX

Foundations of AI

The world of Artificial Intelligence (AI) is no longer science fiction. Instead, it is rapidly permeating across all industries and impacting every aspect of our daily-life. Whether you are an industry professional, an executive, an entrepreneur or a student – developing a foundational understanding of AI and its impact on your organization and ou.

Delft University of Technology

AI in Practice

Start by recognizing AI’s multiple benefits and implications and end by making a plan for its application. Artificial Intelligence (AI) is like electricity must have been 140 years ago. We may not yet be able to properly imagine how it will affect our lives, but organizations need to start thinking about how AI can be applied to and improve everyd.

edX

Fundamentos de Inteligencia Artificial

El mundo de la Inteligencia Artificial (IA) ya no es ciencia ficción. La IA está penetrando rápidamente todas las industrias e impactando cada aspecto de nuestra vida diaria. Ya seas un profesional, un ejecutivo, un emprendedor o un estudiante, comprender la IA y su impacto en nuestra sociedad es crucial y transformará tu carrera. Este progra.

Udemy

Python in 3 Hours! [+ Machine Learning & Deep Learning]

Join our intensive course and switch to Python in just three hours! Dive into the fundamentals of Machine Learning and embark on your journey by developing Deep Learning models using TensorFlow. This streamlined curriculum is perfect for beginners and those looking to upskill quickly. Learn and apply essential tools like Matplotlib, NumPy,.

Udemy

Data Science for Business Leaders: ML Fundamentals

Delve into "Data Science for Business Leaders: ML Fundamentals," a transformative course offered by Udemy that demystifies machine learning and artificial intelligence for business leaders. This no-code program is designed to empower leaders to comprehend and leverage AI as a strategic business tool, enhancing decision-making and innovati.

Udemy

The Complete Healthcare Artificial Intelligence Course 2024

The Complete Healthcare Artificial Intelligence Course 2024 | Udemy Immerse yourself in the world of healthcare artificial intelligence with our comprehensive course. Learn to develop robust AI models to tackle real healthcare challenges by leveraging the power of data science, machine learning, and deep learning. This course, offered by Udemy.

Udemy

Natural Language Processing (NLP) in Python with 8 Projects

Embark on a comprehensive journey to master Natural Language Processing (NLP) using Python by working on 8 diverse projects. This Udemy course offers a deep dive into the realms of NLP, machine learning, and deep learning, equipping you with practical skills and knowledge. Throughout the course, you will integrate Python with cutting-edge NL.

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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!