AI courses

2023 Courses

Agile Development

Agile Development Beyond practices and beyond principles, you'll learn the applied skills that enable an agile team to succeed. While applying an evidence-based approach across the four courses, you'll practice what you've learned by creating an actionable, adaptive focus for a digital product team. University: University of Virginia.
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provider Coursera  Specialization
pricing Paid Course
duration 17 weeks, 3 hours a week

FinTech

Nominated for the 2020 edX Prize Finance and technology have a very long history of intertwined evolution, from the earliest coins to today’s cryptocurrencies. However, in the past decade, the speed of change combined with an ever-increasing range of new entrants – from startups to tech firms, from global markets to emerging markets – are transfo.
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provider edX  Professional Certificate
pricing $597.00
duration 18 weeks, 1-4 hours a week

Master’s Degree in IT Management

Master’s Degree in IT Management Our Master’s Degree in IT Management is designed for working professionals with an interest in information technology (IT) and information systems who are looking to accelerate their careers. We created this online IT Management degree program to meet the growing demand for IT leaders, information sy.
provider edX  Degree
pricing $21,000.00

Methods and Application in Human-Robot Interaction

Methods and Application in Human-Robot Interaction Methods and Application in Human-Robot Interaction is part two of the Human-Robot Interaction professional certificate. This course continues to explore the multidisciplinary topics central to modern Human-Robot Interaction research and looks at the role that robots may play in our society; invest.
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provider edX
pricing Free Online Course (Audit)
duration 7 weeks, 5-10 hours a week
sessions On-Demand

Digital Product Management

Digital Product Management - University of Virginia | Coursera University: University of Virginia Provider: Coursera Categories: Artificial Intelligence Courses, Design Thinking Courses, Product Management Courses Description: This Specialization is tailored for both aspiring and veteran product managers in the digital sphere, offering a rich to.
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provider Coursera  Specialization
pricing Paid Course
duration 22 weeks, 3 hours a week

Product Analytics and AI

Product Analytics and AI - University of Virginia | Coursera Few capabilities focus agile like a strong analytics program. Such a program determines where a team should focus from one agile iteration (sprint) to the next. Successful analytics are rarely hard to understand and are often startling in their clarity. In this course, developed at th.
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provider Coursera
pricing Free Online Course (Audit)
duration 15 hours
sessions On-Demand

Design Thinking and Global Startup

Join the Design Thinking and Global Startup course offered by the University of California, Santa Cruz on Coursera. This comprehensive course introduces you to a systematic engineering design methodology, specifically Stanford Design Thinking, ideal for preparing a global startup. The course covers the entire Stanford Design Thinking pr.
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provider Coursera
pricing Free Online Course (Audit)
duration 7-8 hours
sessions On-Demand

The Art & Science of Product Management

The Art & Science of Product Management Sponsored by AMAZON WEB SERVICES (AWS) Learn how Amazon, Facebook, Google, and Twitch PMs lead and collaborate with an interdisciplinary team of UX designers, software engineers, and AI/ML engineers. Plus, practice real PM interview questions asked by Microsoft, Google, and Amazon! Featuring: NANCY.
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provider Coursera
pricing Free Online Course (Audit)
duration 9-10 hours
sessions On-Demand

Pomodoro ile 1 Haftada Python Ögrenin + 100 Soru-Çözüm

Pomodoro ile 1 Haftada Python Öğrenin + 100 Soru-Çözüm Kısa sürede Python'un tüm detaylarını öğrenebilirsiniz. Ayrıca bilginizi ödev, quiz ve kodlama egzersizleri ile pekiştirin. Bu kurs, Python bilgilerinizi 100 soru-çözüm ile test etme ve geliştirme fırsatı sunar. Sağlayıcı: Udemy Kategori: Robotik Kursları, Yapay Zeka Kursları, Python Kurslar.
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provider Udemy
pricing Paid Course
duration 20 hours 38 minutes
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!