Join

Deep Learning courses

487 Courses

California Institute of Technology HEC Paris

Deep Learning and Neural Networks for Financial Engineering

Explore the frontiers of Artificial Intelligence with HEC Paris and edX Professional Education through the "Deep Learning and Neural Networks for Financial Engineering" course. This comprehensive program dives into how deep learning and neural networks can transform the landscape of financial engineering. Participants will learn the application of.
course image
provider edX  Professional Education
pricing Paid Course
duration 7 weeks, 4-6 hours a week
California Institute of Technology Harvard University

Tiny Machine Learning (TinyML)

Discover the innovative world of Tiny Machine Learning (TinyML) with the Professional Certificate program jointly offered by Harvard University and Google TensorFlow. Dive into this breakthrough field that merges machine learning's vast capabilities with the unique requirements of tiny, power-sensitive devices. This comprehensive program covers ess.
course image
provider edX  Professional Certificate
pricing $897.00
duration 16 weeks, 2-4 hours a week
California Institute of Technology Coursera

What is Data Science?

Embark on the journey to understand why Data Science is considered the sexiest profession of the 21st century through our comprehensive course offered on Coursera. This introductory program not only demystifies the concept of data science but also provides a deep dive into the roles and responsibilities of data scientists. Discover the vast array o.
course image
provider Coursera
pricing Free Online Course (Audit)
duration 11 hours
sessions On-Demand
California Institute of Technology Indian Institute of Technology Guwahati

Informed Clinical Decision Making using Deep Learning

Embark on a groundbreaking journey to reshape clinical decision-making with the cutting-edge "Informed Clinical Decision Making using Deep Learning" specialization. Designed for programmers eager to enhance their expertise, this program delves into the transformative application of deep learning on Electronic Health Records, leading towards the dev.
course image
provider Coursera  Specialization
pricing Paid Course
duration 22 weeks, 5 hours a week
California Institute of Technology Stanford University

Stanford Seminar - Deep Learning in Speech Recognition

Title: Stanford Seminar - Deep Learning in Speech Recognition Description: Embark on a comprehensive journey through the realm of artificial intelligence with Stanford University's seminar on Deep Learning in Speech Recognition. This meticulously designed course offers a deep dive into the history, development, and pivotal applications of deep lear.
course image
provider YouTube
pricing Free Online Course
duration 1 hour 13 minutes
sessions On-Demand
California Institute of Technology AWS Skill Builder

Introduction to Artificial Intelligence (Portuguese)

Descubra os fundamentos da inteligência artificial (IA) com o nosso curso introdutório, agora disponível em português. Explore o que é IA, sua importância no mundo moderno, e mergulhe nos conceitos de machine learning e aprendizado profundo. Este curso, oferecido pela AWS Skill Builder, também revela como a Amazon incorpora IA em seus produtos. Ide.
course image
provider AWS Skill Builder
pricing Free Certificate
sessions On-Demand
California Institute of Technology AWS Skill Builder

Introduction to Artificial Intelligence (Japanese) (日本語字幕版)

Explore the fascinating world of artificial intelligence in the "Introduction to Artificial Intelligence (Japanese) (日本語字幕版)" course offered by AWS Skill Builder. This comprehensive course delves into the essentials of AI, explaining its significance and covering subsets such as Machine Learning (ML) and Deep Learning (DL). Learn how AI is in.
course image
provider AWS Skill Builder
pricing Free Certificate
sessions On-Demand
California Institute of Technology AWS Skill Builder

Introduction to Artificial Intelligence (Korean)

이 과정은 인공 지능(AI)에 대한 입문 과정으로, AI의 기본 개념과 중요성을 이해하고, 그 하위 범주인 기계 학습과 딥러닝에 대해서도 배워봅니다. 또한, Amazon이 제품에 AI를 어떻게 통합하는지 사례를 통해 설명합니다. 강의에 한국어 자막 제공이 가능하며, 자막은 화면 하단의 CC 버튼을 통해 조절할 수 있습니다. 이 과정은 AWS Skill Builder에서 제공하는 인공 지능.
course image
provider AWS Skill Builder
pricing Free Certificate
sessions On-Demand
California Institute of Technology AWS Skill Builder

Introduction to Artificial Intelligence (Traditional Chinese)

探索人工智能的奧秘，這是一門介紹人工智慧（AI）的基礎課程。本課程將闡述AI的基本概念和重要性，涵蓋基礎知識包括機器學習和深度學習——作為AI不可分割的一部分。同時，將展示亞馬遜如何在其業務中實施AI技術。想要開啟或關閉翻譯字幕，請點擊視頻播放器下方的CC按鈕。 此課程由AWS Skill Builder提供，適合對人工智能、機器學習或深度學習有興趣的學習者。
course image
provider AWS Skill Builder
pricing Free Certificate
sessions On-Demand
California Institute of Technology Coursera

Deep Learning and Reinforcement Learning

Title: Deep Learning and Reinforcement Learning Description: Engage with two of the most advanced disciplines in the field of Machine Learning through this comprehensive course offered by Coursera. Delve into Deep Learning, a key subset of Machine Learning that underpins many current AI applications, touching aspects of both Supervised and Unsuperv.
course image
provider Coursera
pricing Free Online Course (Audit)
duration 32 hours
sessions On-Demand

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!