AI courses

2697 Courses

Build A ChatGPT AI in JavaScript - OpenAI - Code Along

Join the exciting journey of building your own AI assistant using JavaScript and OpenAI's ChatGPT in this engaging course. Perfect for budding developers eager to explore the crossroads of artificial intelligence and machine learning, this course provides a practical, hands-on approach to mastering the world-renowned ChatGPT technology. Offered.
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ChatGPT for Better Business Communication

ChatGPT for Better Business Communication Enhance your productivity and communication skills with our engaging course, "ChatGPT for Better Business Communication." Offered by Udemy, this program utilizes the power of GPT-4, bringing you advanced techniques to improve your business writing. Learn how to efficiently use AI for clearer, more ef.
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Generative AI: Learn about the next AI frontier

Join the frontier of artificial intelligence with our comprehensive course on Generative AI. Understand the advantages, drawbacks, and unforeseen consequences that accompany this technology. Gain insights through specialized courses covering: Generative AI Courses Machine Learning Courses ChatGPT Courses DALL-E Courses Stable Dif.
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Diffusion Mastery: Flux, Stable Diffusion, Midjourney & more

Embark on a creative journey into the realm of AI-generated art and video with our engaging online course. Learn to master advanced tools and techniques associated with revolutionary platforms like Stable Diffusion, Runway, Flux, and more. Offered by Udemy, this course dives deep into the potential of digital creativity. Guided by industry exper.
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Responsible Artificial Intelligence Practices (简体中文)

在本课程中,您将学习负责任的 AI 实践。首先,您将了解什么是负责任的 AI,学习定义与挑战,并探索其核心维度。 然后,深入开发负责任的 AI 系统,了解 AWS 提供的服务和工具,以及在模型选择和数据准备中的注意事项。 最后,您将了解透明且可解释的模型,探索其权衡考虑因素及以人为本的设计原则。 课程级别:基础级 时长:1 小时 课程内容:包含互动元素、文字.
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Exploring Artificial Intelligence Use Cases and Applications (简体中文)

在本课程中,您将探索现实世界各行各业中人工智能 (AI)、机器学习 (ML) 和生成式人工智能的使用案例。这些领域包括医护、金融、营销、娱乐等。您还将了解 AI、ML 和生成式人工智能的能力和局限性、模型选择技巧和关键业务指标。 课程级别:基础级 时长:1 小时 注意:本课程具有本地化的注释/字幕。 旁白保留英语。要显示字幕,请单击播放器右下角的 CC 按钮。 课.
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Developing Generative Artificial Intelligence Solutions (简体中文)

在本课程中,您将探索生成式人工智能应用程序生命周期,其中包括以下内容: 定义业务使用案例 选择基础模型 (FM) 提高 FM 的性能 评估 FM 的性能 部署及其对业务目标的影响 本课程是生成式人工智能课程的入门课程,这些课程深入探讨了使用提示工程、检索增强生成 (RAG) 和微调技术自定义 FM 的相关概念。 课程级别:基础级 时长:1 小时 注意:本课程具有.
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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!