AI courses

1518 Courses

Swayam

Working In Contemporary Teams

Working In Contemporary Teams ABOUT THE COURSE: Corporates are utilizing various types of contemporary teams, including virtual teams, human-robot collaboration, and agile teams. This course equips students to understand and adapt to these new team dynamics, developing essential skills and competencies. Explore the concept of contemporary teams,.

Independent

Introduction to Artificial Intelligence

Introduction to Artificial Intelligence Artificial Intelligence began in the 1950s, when the first computers became available. At that time, combinatorial problems (such as playing chess) were considered to be interesting because they required some mental effort that programmers did not know how to describe, encode, or simulate. The main tools.

openSAP

Delivering Value with Intelligent Innovations in SAP S/4HANA

Delivering Value with Intelligent Innovations in SAP S/4HANA This course focuses on the value of artificial intelligence technologies in the Intelligent Enterprise. It emphasizes that the value lies not in technical knowledge, but in adopting the solution and driving tangible results. The course teaches how to achieve defined business outcomes t.

The Great Courses Plus

Pilot Lecture: Ethical Health Care in the Age of AI

Pilot Lecture: Ethical Health Care in the Age of AI | The Great Courses Plus Pilot Lecture: Ethical Health Care in the Age of AI Delve into the complexities of health care ethics and policy as they intersect with advancements in artificial intelligence. Join a noted professor of philosophy and psychology for an insightful e.

AWS Skill Builder

Responsible Artificial Intelligence Practices (Korean)

Responsible Artificial Intelligence Practices (Korean) 이 과정에서는 책임감 있는 AI 관행에 대해 알아봅니다. 먼저 책임감 있는 AI가 무엇인지 소개합니다. 책임감 있는 AI를 정의하는 방법을 배우고, 책임감 있는 AI가 극복하려는 과제를 이해하고, 책임감 있는 AI의 핵심 요소를 탐구하게 됩니다. 그런 다음 책임감 있는 AI 시스템 개발을 위한 몇 가지 주제를 자세히.

AWS Skill Builder

AWS SimuLearn: Artificial Intelligence for Medical Diagnosis

AWS SimuLearn is an online learning experience that pairs generative AI-powered simulations with hands-on practice to help individuals learn how to translate business problems into technical solutions through the simulation of dialog between a customer and a technology professional. AWS SimuLearn: Artificial Intelligence for Medical Diagnosis In.

Coursera

Introduction to AI and Machine Learning on GC - Português

Neste curso, apresentamos os recursos de IA e machine learning (ML) no Google Cloud que criam projetos de IA generativa e preditiva. Vamos conhecer as tecnologias, os produtos e as ferramentas disponíveis em todo o ciclo de vida de dados à IA, o que inclui os fundamentos dessa tecnologia, o desenvolvimento e as soluções dela. O objetivo é aj.

Coursera

Microsoft Copilot for Security

Microsoft Copilot for Security Did you know that integrating AI with cybersecurity can reduce incident response times by up to 70%? This Short Course was created to help cybersecurity professionals harness the power of Microsoft Security Copilot to enhance their security strategies. By completing this course, you'll be able to integrate advance.

AWS Skill Builder

Fundamentos de machine learning e inteligência artificial (Português) | Fundamentals of Machine Learning and Artificial Intelligence (Portuguese)

Fundamentos de Machine Learning e Inteligência Artificial (Português) | Fundamentals of Machine Learning and Artificial Intelligence (Portuguese) Neste curso, você aprenderá sobre os fundamentos de machine learning (ML) e inteligência artificial (IA). Você explorará as conexões entre IA, ML, aprendizado profundo e o campo emergente da inteligência.

Coursera

Introduction to AI and Machine Learning on GC - 한국어

Introduction to AI and Machine Learning on GC - 한국어 이 과정에서는 예측 및 생성형 AI 프로젝트를 모두 빌드하는 Google Cloud 기반 AI 및 머신러닝(ML) 제품군을 소개합니다. AI 기반, 개발, 솔루션을 모두 포함하여 데이터에서 AI로 이어지는 수명 주기 전반에 걸쳐 사용할 수 있는 기술과 제품, 도구를 살펴봅니다. 이 과정의 목표는 흥미로운 학습 경험과 실제적.

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What is AI course and why is it so interesting?

The topic of artificial intelligence course and machine thinking interested scientists even before the invention of computers, and after the advent of computers it reached a new level. In the 1950s and 60s, issues related to the creation and use of artificial intelligence began to be widely discussed in society.

The answer to this question is also difficult to find because there are no clear criteria for the intelligence of a machine. If this is the ability to make logical conclusions, then the computer has long surpassed humans. When it comes to flexibility and originality of thinking, humans are still superior to even the most modern intelligent devices.

AI is actively used in a variety of fields, the list of which is expanding every year, and not only techies, but also humanists—specialists in project management, advertising and PR, psychologists, economists, and linguists—can find their place in this area.

What can artificial intelligence course programs do?

Modern artificial intelligence technologies make it possible to create devices and programs that:

find the maximum possible solutions to one situation; machine intelligence can quickly analyze all options and calculate which one will be the cheapest, safest, and most effective. The machine’s responses will depend on what task a person has given it. For example, AI courses online can show how to calculate which model or product is more profitable to produce based on data on the cost of consumables and sales volumes.

can answer any questions integrated into their system; at the same time, the machine can not only find a ready-made answer in the database, but also search for it using intermediate leading questions that gradually narrow the search area.

collect and process large amounts of information, analyze it, combine unrelated pieces of information; This is how, for example, the image search system works in Google.

Artificial intelligence is a technology not only of the present, but also of the future, and specialists in this field will not have problems finding employment in the next few decades. Huge investments are already being attracted to this area, which means there will be no problems with remuneration for workers involved in the development, production and implementation of the best AI courses technologies from AI Eeducation.

Contribution to science and culture

Artificial intelligence and the creation of intelligent programs and devices is an area in which new discoveries are constantly being made. By working on artificial intelligence, scientists and engineers are at the forefront of world science, moving humanity forward. In addition, the development of artificial intelligence and its introduction into our lives gives rise to many ethical and philosophical questions, the resolution of which requires not a machine mind, but a human mind capable of creative thinking.

Creation

In the field of creating AI, not only software developers are in great demand, but also people with creative thinking who are able to come up with and promote new ideas. To work in this field, it is important to be able to think outside the box. A separate promising area that a creative person can take up is teaching a machine to create works of art. Already today computers draw pictures, write music and poetry. In the near future, perhaps they will take over the creation of books, films and cartoons.

Mastering new skills

To work in the field of artificial intelligence, you need a good knowledge of mathematics and basic programming. For the study of AI, the two most important branches of mathematics are linear algebra and probability theory. The most popular programming language in this area is Python, followed by R and Lua. Knowledge of the English language will also be useful - the most modern scientific data, articles, reports on achievements and experiments are usually published in English!