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Deep Learning courses

636 Courses

California Institute of Technology Udemy

ChatGPT Generative AI For Business Leaders | Gen AI Primer

Embark on a transformative journey with our ChatGPT Generative AI For Business Leaders course. Specially designed for forward-thinking business leaders, this course equips you with the knowledge to leverage Generative AI effectively. Within a concise 2-hour session, delve into the foundational concepts of AI, focusing on practical business a.
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California Institute of Technology Udemy

NVIDIA-Certified Associate - Generative AI LLMs (NCA-GENL)

Udemy Elevate your expertise in Generative AI with the NVIDIA-Certified Associate program. This specialized course prepares you for the NCA-GENL exam, focusing on key areas such as Python, Machine Learning, Deep Learning, Neural Networks, and more. Discover the potential of Generative AI, master Prompt Engineering, and explore the nuances of.
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California Institute of Technology Udemy

Generative AI for Leaders & Business Professionals

Udemy Course: Generative AI for Leaders & Business Professionals Elevate your business acumen with the 'Generative AI for Leaders & Business Professionals' course. Offered by Udemy, this program is tailored for leaders aiming to harness the power of modern AI technologies. Equip yourself with cutting-edge knowledge in artificial intelligence,.
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California Institute of Technology Udemy

Generative AI For Managers and Leaders

Generative AI For Managers and Leaders | Udemy Course Elevate your leadership skills by delving into the world of Generative AI with our specialized Udemy course designed for managers and leaders. Gain valuable insights on integrating AI into your business processes, addressing the inherent challenges of Generative AI, and managing.
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California Institute of Technology University of Vigo

Deep Learning

Artificial neural networks form the foundation of modern AI systems. “Deep Learning” offers participants a comprehensive introduction to the core principles and fundamental building blocks used in today’s neural networks. The course covers the most important types of neural networks, like MLPs, CNNs, RNNs, and Transformers, as well as practical.
California Institute of Technology Udemy

AI Engineering Masterclass: From Zero to AI Hero

Enhance your skills with the AI Engineering Masterclass: From Zero to AI Hero. In this comprehensive course offered by Udemy, immerse yourself in building, training, and deploying scalable AI solutions. Engage with real-world projects and gain hands-on learning experience. Covering a variety of topics, this course is perfect for those interes.
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California Institute of Technology Udemy

AI Mastery Bootcamp 2025: Algorithms, DeepSeek, AI Agents...

Join the AI Mastery Bootcamp 2025 and dive deep into the world of Artificial Intelligence. This comprehensive course is ideal for anyone who aspires to become a proficient AI Engineer. You will explore the intricacies of Algorithms, Models like DeepSeek, and AI Agents. The bootcamp also covers essential programming with Python and invites you t.
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California Institute of Technology Udemy

Deep Learning for Beginners: Core Concepts and PyTorch

Embark on your journey into the world of deep learning and artificial intelligence with our beginner-level course, "Deep Learning for Beginners: Core Concepts and PyTorch." This course, available through Udemy, is designed to provide you with a solid understanding of deep learning principles. Whether you're interested in artificial intellige.
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California Institute of Technology Codecademy

Learn How To Build Your Own GPT

Learn how to build a Generative Pre-trained Transformer (GPT) from scratch using PyTorch. Learn how to build your own GPT (Generative Pre-trained Transformer) from scratch using PyTorch in this course. You will use PyTorch to construct a transformer, train it on a text corpus, and then use the trained transformer to generate new text. * Understa.
California Institute of Technology Udemy

TensorFlow: Basic to Advanced Training

Elevate your machine learning skills with Udemy's comprehensive TensorFlow: Basic to Advanced Training. This course offers a flexible and scalable approach to open-source machine learning, catering to learners at all levels. Delve into specialized topics such as Deep Learning and Neural Networks, while also mastering tools like Keras and TensorF.
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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!