AI courses

2012 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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人工智能导论

探索人工智能基础概念,研究数据驱动的网络模型、算法与平台。本课程梳理人工智能的关键发展节点,激发您的学习兴趣。通过此课程,您将牢牢掌握人工智能基础,为深度学习的最前沿铺路,不仅适合计算机专业学生,也对其他学科的学生适宜。
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大模型技术及交叉应用

Embark on a comprehensive journey to understand the intricacies of large-scale AI models and their diverse applications. With XuetangX, delve into nine meticulously structured lessons that encompass the essential principles, intricate technical implementations, and practical applications across various sectors. Whether you're passionate about.
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代码自动生成是辅助还是取代程序员

观看这段由XuetangX提供的中文视频,深入探讨代码自动生成如何影响程序员角色。视频分析了AI驱动的代码生成工具在当前技术背景下是否会辅助或替代人类开发者,审视其能力、局限性,以及自动化代码生成对软件开发未来可能带来的变革。
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提示语工程训练营

参与提示语工程训练营,深入学习如何掌握和运用提示语工程的重要技术。这门课程提供丰富的知识传授和实践练习,帮助学员设计、优化交互提示语,以提高与人工智能模型的交互效果。 您将探索提示语工程的核心概念、最佳实践以及常见的应用场景。通过课程的实际案例和练习,您将加深对这些概念的理解,并获得在人工智能应用开发中实际应用提示语工程的宝贵经验。 课程由Xue.
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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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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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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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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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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!