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Deep Learning courses

632 Courses

California Institute of Technology Microsoft Learn

AI Fluency

Module 1: Discover the history and foundational concepts of artificial intelligence. Learn how AI impacts daily life and evaluate AI, machine learning, and deep learning concepts, algorithms, and historical milestones. Module 2: Understand generative AI fundamentals and their effect on creativity and productivity. Distinguish between NL.
California Institute of Technology University of Michigan

AI for Energy and Biomedical Applications

“AI for Energy and Biomedical Applications” is a transformative exploration into the revolutionary AI technologies reshaping energy systems and healthcare solutions. In the energy domain, AI is a game-changer in the generation, distribution, and management of energy resources, optimizing renewable energy production, enhancing efficiency, a.
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California Institute of Technology Northeastern University

NLP in Engineering: Concepts & Real-World Applications

Join our comprehensive course, "NLP in Engineering: Concepts & Real-World Applications," offered by Northeastern University on Coursera. Dive into the world of Natural Language Processing and explore various techniques and their principles to address engineering problems. This course is tailored to focus on practical implementation skills acr.
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California Institute of Technology CourseHorse

AI & Machine Learning Bootcamp (Live Online)

The Fullstack Academy Artificial Intelligence & Machine Learning Bootcamp is an intensive part-time program designed for current and aspiring data professionals. Over 26 weeks, you'll master both practical and theoretical machine learning concepts using industry-standard tools. Gain proficiency in Python, Keras, and TensorFlow, and qualify fo.
California Institute of Technology Johns Hopkins University

Foundations of Neural Networks

Foundations of Neural Networks - Specialization by Johns Hopkins University This Specialization by Johns Hopkins University, available on Coursera, is tailored for post-graduate students aiming to advance their expertise in neural networks and deep learning. The program encompasses three comprehensive courses that delve into the mathematical theo.
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California Institute of Technology CourseHorse

AI for Python (Live Online)

Embark on a transformative learning journey with our AI for Python (Live Online) course, designed for both beginners and those with intermediate Python skills. This hands-on course covers essential AI concepts, providing you with the expertise to integrate AI into your projects. Throughout the course, engage in a blend of theoretical unders.
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California Institute of Technology Johns Hopkins University

AI Strategy and Project Management

AI Strategy and Project Management - Johns Hopkins University The "AI Strategy and Project Management" specialization is tailored for leaders responsible for leading AI initiatives within their organizations. As AI technologies, including machine learning, deep learning, symbolic AI, and generative AI, continue to redefine the industrial and gov.
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California Institute of Technology New York University (NYU)

Digital Marketing Tools: Machine Learning and AI

Join the NYU course on Coursera and discover the impact of machine learning and AI on digital marketing. This dynamic course offers businesses the skills to automate decision-making and predict customer behavior using advanced tools. Explore powerful techniques to optimize marketing efforts in real-time and gain insights into machine lear.
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California Institute of Technology Udemy

Calculus -for Generative AI ,Data Science & Machine Learning

Unlock the power of calculus for a deeper understanding of artificial intelligence, deep learning, machine learning, and data science. This comprehensive course offered by Udemy is designed to provide you with the essential mathematical foundation needed in these cutting-edge fields. Through hands-on experience, you will master key calculus.
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California Institute of Technology Johns Hopkins University

Practical Methodology and Ethics in AI

Discover the comprehensive course "Practical Methodologies and Ethics in AI" offered by Johns Hopkins University on Coursera. This program is designed to furnish you with vital skills to develop, evaluate, and deploy deep learning models, while thoroughly exploring ethical considerations in AI. Engage in hands-on projects and case studies to.
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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!