AI courses

2898 Courses

Google Gemini: Get Started with Google's AI Assistant

Discover the potential of Gemini, Google’s advanced AI assistant. Whether you need answers to pressing questions, assistance with drafting new content, or help navigating Google Workspace apps like Gmail, Google Docs, and Google Sheets, this course has you covered. Offered by: LinkedIn Learning Category: Artificial Intelligence Courses.
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AI Fundamentals for Data Professionals

AI Fundamentals for Data Professionals | LinkedIn Learning Discover the fundamental skills, tools, and concepts of AI in this course designed for data professionals. Gain expertise in the core areas of Artificial Intelligence, including Machine Learning, Reinforcement Learning, Deep Learning, Supervised Learning, Unsupervised Learni.
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Introduction to Generative Adversarial Networks (GANs)

Introduction to Generative Adversarial Networks (GANs) Gain a better understanding of Generative Adversarial Networks (GANs). Learn how GANs are created, trained, and their capability to generate new media. This course is offered by LinkedIn Learning through the university platform. Categories: Arti.
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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.
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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.

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.
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Implementing Connected Planning

Learn how to transform your organization with our course on 'Implementing Connected Planning'. This insightful course, offered by Anaplan through Coursera, dives deep into the methodology and strategies necessary for integrating Connected Planning within an organization. Traditional planning and static business modeling are evolving, and this cours.
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provider Coursera
pricing Free Online Course (Audit)
duration 16 hours
sessions On-Demand

Inbound Marketing

Title: Inbound Marketing Workshop Description: Dive deep into inbound marketing strategies with our comprehensive workshop presented by HubSpot Academy. Gain insights into practical techniques that will help you understand and implement the core tactics of inbound marketing effectively. Provider: Hubformat Academy Categories: Artificial Intelligenc.
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provider HubSpot Academy
pricing Free Certificate
duration 3-4 hours
sessions On-Demand

IBM Introduction to Machine Learning

Discover the transformative power of machine learning with the "IBM Introduction to Machine Learning" specialization offered by Coursera. As machine learning expertise becomes increasingly crucial in the workforce, this comprehensive four-course program stands as a vital tool in securing a competitive edge. The reach and significance of machine lea.
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provider Coursera  Specialization
pricing Paid Course
duration 26 weeks, 3 hours a week

C++ Tutorial for Complete Beginners

Title: C++ Tutorial for Complete Beginners Description: Embark on your programming journey with our comprehensive C++ tutorial on Udemy, designed specifically for beginners. Learn the ins and outs of one of the most widely used and challenging languages in the world of software development. Provider: Udemy Categories: Artificial Intelligence Course.
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provider Udemy
pricing Free Online Course
duration 18 hours
sessions On-Demand

Artificial intelligence is the ability of a machine to imitate human thinking. This is the name of modern technology with the help of which electronic devices, programs and robots can solve various problems using given algorithms. We tell you where to start studying AI course and why it is needed.

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!