Join

Deep Learning courses

487 Courses

California Institute of Technology Pluralsight

Unlocking Speech Recognition: Deep Learning in Acoustics

Unlocking Speech Recognition: Deep Learning in Acoustics Unlocking Speech Recognition: Deep Learning in Acoustics offers a comprehensive dive into AI communication. This course is perfect for those looking to develop speech-to-text models using TensorFlow and PyTorch. Throughout this course, you’ll master essential techniques required to.
course image
California Institute of Technology Stanford University

Stanford CS330: Deep Multi-Task and Meta Learning

Stanford CS330: Deep Multi-Task and Meta Learning Stanford CS330: Deep Multi-Task and Meta Learning Embark on an 18-hour educational journey with Stanford University’s comprehensive course that delves into the forefront of multi-task and meta-learning within the sphere of artificial intelligence. This course begins with an introduction and b.
course image
California Institute of Technology Stanford University

Stanford Seminar - Persistent and Unforgeable Watermarks for Deep Neural Networks

Stanford Seminar - Persistent and Unforgeable Watermarks for Deep Neural Networks Explore a Stanford seminar on persistent and unforgeable watermarks for deep neural networks. Delve into the increasing popularity of DNNs, their training challenges, and the importance of IP protection for model owners. Learn about various watermarking techniques,.
course image
California Institute of Technology Taipei Medical University

Artificial Intelligence in Bioinformatics

Embark on a transformative journey into the intersection of Artificial Intelligence (AI) and bioinformatics with this comprehensive course offered by Taipei Medical University, available on FutureLearn. Dive into the fundamentals of employing AI, machine learning, and deep learning to navigate the complex world of bioinformatics. Discover the pivot.
course image
provider FutureLearn
pricing Free Online Course (Audit)
duration 3 weeks, 2 hours a week
sessions On-Demand
California Institute of Technology Taipei Medical University

Artificial Intelligence (AI) In Healthcare: Opportunities and Challenges

Explore the pivotal role of Artificial Intelligence (AI) in revolutionizing healthcare with this comprehensive course offered by Taipei Medical University and provided by FutureLearn. Delve into the myriad ways AI can enhance healthcare systems through a four-week journey that illuminates the necessity of AI in healthcare, the opportunities it pres.
course image
provider FutureLearn
pricing Free Online Course (Audit)
duration 4 weeks, 1 hour a week
sessions On-Demand
California Institute of Technology University of Virginia

Artificial Intelligence in Marketing

Discover the transformative power of Artificial Intelligence (AI) in the marketing landscape with the insightful course "Artificial Intelligence in Marketing," offered by the Darden School of Business at the University of Virginia on Coursera. This comprehensive course, led by esteemed Professor Raj Venkatesan, dives into the vital role AI plays in.
course image
provider Coursera
pricing Free Online Course (Audit)
duration 11 hours
sessions On-Demand
California Institute of Technology Coursera

Introduction to Artificial Intelligence (AI)

Title: Introduction to Artificial Intelligence (AI) Description: Dive into the world of Artificial Intelligence (AI) with this comprehensive course offered by Coursera. Whether you're a complete beginner or looking to brush up on your AI knowledge, this course is designed for you. Learn what AI truly means, delve into its various applications, and.
course image
provider Coursera
pricing Free Online Course (Audit)
duration 8-9 hours
sessions On-Demand
California Institute of Technology Indian Institute of Technology Delhi

An Introduction to Artificial Intelligence

Course Overview: This comprehensive course offered by the prestigious Indian Institute of Technology Delhi through Swayam is your gateway into the intriguing world of Artificial Intelligence (AI). It is meticulously designed to introduce participants to the core concepts and philosophies underlying AI. By exploring a variety of models such as searc.
provider Swayam
pricing Free Online Course
duration 12 weeks
sessions 21st Jan, 2024
California Institute of Technology Politecnico di Milano

Technologies and platforms for Artificial Intelligence

Delve into the realm of Artificial Intelligence with this comprehensive course offered by Politecnico di Milano on Coursera. This detailed exploration covers the spectrum of hardware technologies essential for machine learning and deep learning, ranging from Internet-of-Things systems to expansive data centers. Furthermore, participants will gain i.
course image
provider Coursera
pricing Free Online Course (Audit)
duration 2-3 hours
sessions On-Demand
California Institute of Technology Udacity  Nanodegree

AI for Trading

AI for Trading Nanodegree by Udacity: Dive into the dynamic world of trading with a comprehensive Nanodegree program. This course offers hands-on real-world projects crafted by seasoned industry professionals. Covering a wide array of topics from asset management to generating trading signals, it equips you with the mastery of AI algorithms essenti.
course image
provider Udacity  Nanodegree
pricing Paid Course
duration 26 weeks, 10 hours a week

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!