AI courses

1517 Courses

Mineração de Regras de Associação com Python, Apriori e SQL

Mineração de Regras de Associação com Python, Apriori e SQL Aprenda a descobrir padrões escondidos em bases de dados comerciais utilizando regras de associação com o Python! Disponível na: Universidade: Udemy Categories: Inteligência Artificial Python Mineração de Dados SQL MySQL
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provider Udemy
pricing Paid Course
duration 7 hours
sessions On-Demand
provider Udemy
pricing Paid Course
duration 12 hours 56 minutes
sessions On-Demand

Academia para NPCs en Unreal Engine y C++ - Introducción

Curso: Academia para NPCs en Unreal Engine y C++ - Introducción Descripción: Este curso ofrece una introducción al campo de la inteligencia artificial utilizando Unreal Engine y C++. Aprende a desarrollar NPCs (Personajes No Jugadores) inteligentes y mejora tus habilidades de programación y desarrollo de videojuegos. Proveedor: Udemy Categoría.
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provider Udemy
pricing Free Online Course
duration 1-2 hours
sessions On-Demand

Generative AI Teach-Out

Generative AI Teach-Out This Teach-Out introduces learners to artificial intelligence (AI) and explains how large language models and generative AI tools, like ChatGPT, work. Explore the ethical use of artificial intelligence, the implications of authorship, and how these tools might be utilized and regulated moving forward. Generative AI has de.
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provider Coursera
pricing Free Online Course (Audit)
duration 7-8 hours
sessions On-Demand

AI Programming with Python

AI Programming with Python Learn Python, NumPy, Pandas, Matplotlib, PyTorch, and Linear Algebra—the foundations for building your own neural network. University: Udacity Provider: Nanodegree Categories: Artificial Intelligence Courses Python Courses Neural Networks Courses Matplotlib Courses NumPy Courses pandas Courses Data Visu.
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provider Udacity  Nanodegree
pricing Paid Course
duration 13 weeks, 10 hours a week

AI Product Manager

AI Product Manager The AI Product Manager Nanodegree Program offers a comprehensive overview of AI and machine learning for business applications. Participants will start with the basics of AI, progressing to how to create a compelling business case for AI integration and measure its success. Key learnings include: Creating a.
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provider Udacity  Nanodegree
pricing Paid Course
duration 8 weeks, 5-10 hours a week

Applications of AI Technology

Applications of AI Technology | FutureLearn From our workplaces to our homes, AI can now be found in all aspects of our lives. On this four-week course, you’ll delve into the applications of AI technology and how it is affecting the future of four key areas. You’ll start by discovering intelligent systems, where you’ll explore neural networks, g.
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provider FutureLearn
pricing Free Online Course (Audit)
duration 4 weeks, 2 hours a week
sessions On-Demand

Deep Learning for Business

Deep Learning for Business Your smartphone, smartwatch, and automobile (if it is a newer model) have AI (Artificial Intelligence) inside serving you every day. In the near future, more advanced “self-learning” capable DL (Deep Learning) and ML (Machine Learning) technology will be used in almost every aspect of your business and industry. So now.
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provider Coursera
pricing Free Online Course (Audit)
duration 8-9 hours
sessions On-Demand

How to Get Into AI

How to Get Into AI Artificial Intelligence forms the basis for all computer learning and is the future of all complex decision-making. It is becoming increasingly prevalent in daily life, and the outlook is bright for artificial intelligence jobs. In this course, you will navigate the dynamic field of artificial intelligence (AI), exploring its.
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provider Coursera
pricing Free Online Course (Audit)
sessions On-Demand

AI for Efficient Programming: Harnessing the Power of LLMs

This course on Artificial Intelligence (AI) for software development explores the use of AI large language models such as ChatGPT, Bard, and others and their potential benefits and challenges. Through examples and hands-on activities, you will develop an understanding of the ways in which AI can speed up software development tasks and free up.
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provider Coursera
pricing Free Online Course (Audit)
duration 13 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!