AI courses

2016 Courses

Coursera

Advanced Unity Scripting, AI, & Complete 3D Game Development

Advanced Unity Scripting, AI, & Complete 3D Game Development In this course, you’ll begin by mastering Unity's NavMesh system to create intelligent agents capable of navigating complex environments. You'll learn how to handle challenging situations like moving agents across ramps, narrow places, and stairs, as well as making them jump using off-.

Coursera

Unreal Engine 5 – Create A Zombie Survivor FPS Game

Unreal Engine 5 – Create A Zombie Survivor FPS Game Embark on an exciting journey into game development with this comprehensive course on Unreal Engine 5. Begin by learning how to set up the foundational elements of your game, including creating the night mood for a spooky atmosphere and designing the game area. Through hands-on lessons,.

Coursera

Introduction to RNN and DNN

Introduction to RNN and DNN Artificial Intelligence is transforming industries by enabling machines to learn from data and make intelligent decisions. This course offers an in-depth exploration of Recurrent Neural Networks (RNN) and Deep Neural Networks (DNN), two pivotal AI technologies. You’ll start with the basics of RNNs and.

Coursera

RNN Architecture and Sentiment Classification

Title: RNN Architecture and Sentiment Classification Description: Artificial Intelligence is revolutionizing data analysis. This course delves into Recurrent Neural Networks (RNNs), starting with basic memory models and advancing to deep RNN structures. You'll explore RNN models like ManyToMany, ManyToOne, and OneToMany through practical exerci.

Coursera

Intermediate Data Manipulation and Machine Learning

Intermediate Data Manipulation and Machine Learning | Coursera In this comprehensive course, you will explore artificial intelligence (AI) and its core concepts, forming a solid foundation for machine learning. You will delve into regression analysis, applying univariate, polynomial, and multivariate regression techniques to real-wo.

Johns Hopkins University

AI for Cybersecurity

AI for Cybersecurity This Specialization is designed for post-graduate students aiming to master AI applications in cybersecurity. Through three comprehensive courses, you will explore advanced techniques for detecting and mitigating various cyber threats. The curriculum covers essential topics such as AI-driven fraud prevention, malware analysis.

University of Pennsylvania

Deep Learning Essentials

Deep Learning Essentials | University of Pennsylvania | Coursera Join the University of Pennsylvania's Deep Learning Essentials course on Coursera. Delve into the rich history of deep learning, and gain a profound understanding of neural networks, including the perceptron. Discover how these networks function and explore the architectu.

Southern New Hampshire University

Generative AI and Model Selection

Generative AI and Model Selection | Southern New Hampshire University | Coursera Delve into the realm of generative AI and discover the intricacies of selecting the perfect model to suit your requirements with this hands-on course. You will develop a robust understanding of generative AI models, and examine various deployment options such as web.

Northeastern University

Ethics and AI: A Philosophical Guide to Responsible Use

Ethics and AI: A Philosophical Guide to Responsible Use Course Title: Ethics and AI: A Philosophical Guide to Responsible Use Description: This course aims to introduce foundational concepts related to defining AI and examining its regulation through a philosophical lens. Participants will be introduced to basic philosophic.

Johns Hopkins University

Advanced Malware and Network Anomaly Detection

The course "Advanced Malware and Network Anomaly Detection" equips learners with essential skills to combat advanced cybersecurity threats using artificial intelligence. This course takes a hands-on approach, guiding students through the intricacies of malware detection and network anomaly identification. In the first two modules, you will gain fou.

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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!