AI courses

2425 Courses

网络与新媒体概论

网络与新媒体概论课程由江西服装学院提供,专门为应用型高校环境设计,旨在使学生掌握新媒体运营与营销技巧。课程利用最新案例来增强学生的技术理解力和营销思维,同时注重课程思政建设,增加了关于新媒体在社会主义民主政治建设中作用的内容,培养学生的媒介素养与价值观。 此课程通过XuetangX平台提供,分类于人工智能课程、大数据课程、数字营销课程、内容营销课程以及社.
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设计概论与创新策划实践

《设计概论与创新策划实践》是一门融合理论与实践的专业基础课程,由三位教学经验丰富的教师录制而成。课程设计标准包括“课程思政与内容高度融合”“两性一度”和“OBE成果导向”。本课程旨在通过创新项目的策划和实施为引擎,以建构主义理论为指导,打破传统理论的枯燥,以“高阶知识牵引”和“深度有效学习”为目标,重构课程设计,构建理论与实践融合的内容体系。 课程资源特点.
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信息设计——人工智能时代的跨学科设计

《信息设计》是专为设计专业研究生开设的选修课程,分为八大章节,涵盖从信息设计概述到大数据可视化的各个方面。通过模块化知识图谱设计,课程满足不同学科背景与个性化学习需求。 建议每位学生学习信息设计概述及流程,以获取核心原则。视觉传达设计专业可集中于用户研究法与效果测试,而产品设计专业则加强视觉设计原则的理解。 大数据可视化需具备计算机技术基础,设计.
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信息技术

《信息技术》课程是面向中等职业学校各专业的学生在第一学年开设的必修公共基础课程。该课程涵盖了信息的获取、表示、传输、存储及处理等多种技术。通过丰富的在线教学手段,课程旨在帮助学生认识信息技术在现代生产与生活中的重要性,理解信息技术与信息社会的概念及其特征与规范。学生将在此课程中学习掌握信息技术设备与系统的操作,网络应用,图文编辑,数据处理,程序设计.
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智能物流应用

通过本门课程的学习,学生能够了解智能物流的发展趋势,掌握智能物流的相关概念,掌握物联网,云计算,大数据,人工智能等关键技术的具体应用场景,掌握智能运输,智能配送和智能包装等相关知识,培养学生独立与协作工作的能力,提升学生自主学习的兴趣,锻炼学生通过自主学习掌握工作思路与方法的能力,切实提高学生的职业技能和处理实际问题的综合素质。 University: Xuet.
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工业文化

探索工业文化的核心理论,涵盖文化体系架构、发展历程及其功能价值。从工业软实力到国家的工业形象,再到工业文化产业、行业文化,多维度解析。此外,课程特别聚焦于大庆精神、鞍钢宪法、军工文化、以及两弹一星、载人航天和探月精神等中国特有的工业文化风貌。同时,洞察世界范围内的文化特色,如美国的硅谷文化、日本的匠人精神以及英国的工业文化遗产。在课程的结尾,深.
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姚洋×熊焰×滕泰×陈九霖:透过现象看本质,结合原理谈预期

On June 28 at 9:30 AM, join prominent speakers from Peking University National School of Development including Yao Yang, Chairman of Beijing Guofu Capital Co., Ltd. Xiong Yan, Chairman of Wanbo Brothers Asset Management Co., Ltd. Teng Tai, and Chairman of Beijing Joseph Investment Co., Ltd. Chen Jiulin. The event, featuring Yuebao Payment Co-fou.
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Introduction to Artificial Intelligence(人工智能导论)

Explore the fundamentals of artificial intelligence with our comprehensive course, "Introduction to Artificial Intelligence(人工智能导论)." This course, delivered by XuetangX, covers five insightful chapters designed for learners keen on understanding AI's core concepts and applications. Chapter 1: Introduction to Artificial Intelligence In.
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Cloud Computing and Artificial Intelligence

This course covers the structure and possibilities of Cloud Computing, emphasizing the merging of data with AI services like IoT, key technologies in the Fourth Industrial Revolution. It also delves into the applications of big data processing through text analytics. Participants will gain an understanding and practical skills in the principles o.
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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!