AI courses

2429 Courses

是我们创造了算法,还是算法控制着我们?

"我们对你生活的影响比你想象的要大,我们会告诉你家在哪,你在学校的位置,决定你是否能得到贷款去买你梦寐以求的车,告诉你公交车什么时候会来,你该认识哪些朋友,甚至是男朋友或女朋友……我们叫算法,而且我们无处不在。" ——《算法:如何主导人类世界》 这门课程由XuetangX提供,涵盖人工智能、机器学习、道德、隐私和算法的核心内容。
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商务大数据基础与实务

本课程是实现高校人才培养目标的专业课程,旨在通过教学使学生对大数据技术有基本的认识和了解。在教学内容组织上,每一个知识点都以理论+案例形式形成工作任务,由学生围绕工作任务寻求大数据相关理论知识支撑,训练其分析问题、解决问题的能力,培养其职业能力。 课程分为七个部分,包括走进大数据、大数据与云计算、物联网、人工智能、大数据采集与清洗、数据存储和处.
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大数据与机器智能

在这门课程中,您将掌握Python编程技能并进行机器智能的实验。通过深入学习机器学习的基本原理,您将完成机器智能的课程项目。参与Scikit-learn、TensorFlow2和Keras2技术的实践,体验计算机视觉和语音识别等人工智能应用。 此外,课程帮助您理解人工智能产业的发展方向和生态系统。您将熟悉各种技术工具及应用,拓展人工智能领域的视野,培养利用人工智能技术进行创新和.
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神经网络理论及应用

Course Objective Since the mid-1980s, artificial neural networks have rapidly evolved into a forefront research field in information technology. This parallel information processing system significantly impacts fields such as computer science, AI, cognitive science, neuroscience, information science, automatic control, and robotics. The course "N.
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人工智能导论

人工智能导论课程 - XuetangX 本课程是计算机学科的核心课程,旨在为高校人工智能人才的培养提供基础和重点支持。通过介绍人工智能领域的基本知识,学生将逐步掌握智能体解决现实问题的相关理论和技术。课程设计以“知识-思维-技术”三个层次全面培养学生的能力,夯实人工智能专业基础,形成解决问题的机器学习思维,并具备实践应用的技术能力。 课程.
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多彩机器人世界

多彩机器人世界课程融合了机械工程、材料科学、电子技术、计算机技术、自动控制理论及人工智能等多学科知识,专为对机器人技术及应用感兴趣的学习者设计。无需任何先修知识或技能,课程从案例和视频的宏观视角出发,全面介绍机器人的发展历程、当前状态和应用前景。 课程分为两部分,各包含约400分钟的内容。上半部分探索机器人历史,从"想象中的机器人"到"无处不在的机器人".
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人工智能与创业智慧

人工智能与创业智慧 课程特色: 融合人工智能技术与人文智慧思想 联动创业管理思维与技术创新行动 设计人工智能创新创业的知识体系 打通人工智能创新创业的节点问题 撷趣人工智能创业的典型案例素材 共创技术创新时代的创业教育未来 课程内容: 该课程体系结合人工智能技术与创新创业管理,强调知识的前沿性、思维引领性和行动指导性,涵盖十二.
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整合思维应用与实践

本课程为广东省创新创业教育课程,适合有学科基础的大学生、高职及中专学生。主要内容涵盖批判性、创造性与系统性思维,鼓励学生效仿杰出人物的思维及行动模式。同时,指导学生如何有效提问、研究、应用结构化方法。在新时代背景下,学生可以在知识学习中理解规律性,探索大脑如何运作及情绪对决策的影响。这些皆在整合思维应用与实践课程中解答。课程共十三讲,每讲包含.
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Desarrollo de soluciones de machine learning (Español LATAM) | Developing Machine Learning Solutions (LATAM Spanish)

En este curso, aprenderá acerca del ciclo de vida del machine learning y de cómo utilizar los servicios de AWS en cada etapa. Conocerá las diversas fuentes de modelos de machine learning y aprenderá técnicas para evaluar su rendimiento. También comprenderá la importancia de las operaciones de machine learning (MLOps) para optimizar el desarrollo.
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AI大模型应用开发工程师

Learn to become an AI Large Language Model Application Development Engineer through a comprehensive training that encapsulates essential core concepts, development frameworks, and practical fields of application. Master critical skills including prompt engineering, LLM fine-tuning, and API integration while delving into real-world use cases suc.
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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!