AI courses

2023 Courses

Coursera

Introduction to On-Device AI

Introduction to On-Device AI As AI moves beyond the cloud, on-device inference is rapidly expanding to smartphones, IoT devices, robots, AR/VR headsets, and more. Billions of mobile and other edge devices are ready to run optimized AI models. This course equips you with key skills to deploy AI on device: Explore how deploying models on devic.

Coursera

Essentials of Prompt Engineering

Coursera

Developing Machine Learning Solutions

In this machine learning course, you will learn about the machine learning lifecycle and how to use AWS services at every stage. Additionally, you will discover the diverse sources for machine learning models and learn techniques to evaluate their performance. You will also understand the importance of machine learning operations (MLOps) in str.

Coursera

Generative AI for Executives

Generative AI for Executives This course delivers a comprehensive overview of generative AI, tailored for executives. Participants will delve into the fundamentals of generative AI, explore how it can meet business challenges, and learn about its role in driving business growth. Additionally, the course highlights the transformative poten.

Coursera

Machine Learning Essentials for Business and Technical Decision Makers

Machine Learning Essentials for Business and Technical Decision Makers | Coursera In this course, you will learn about best practices and recommendations for machine learning (ML). The course explores how to roadmap for integrating ML into your business processes, explores requirements to determine if ML is the appropriate solution to a business.

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.

1 ... 81 82 83 84 85 ... 203

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!