AI courses

2563 Courses

Implement no-code Copilot agents in Microsoft 365 SharePoint

University: Microsoft Learn Categories: Artificial Intelligence Courses, IT Governance Courses, Microsoft SharePoint Courses, No-Code Development Courses, Microsoft Copilot Courses, Document Management Courses Module 1: Explore the functions of no-code agents as AI-driven aides in SharePoint. Learn how these agents provide real-time su.

Learning Design Thinking: Lead Change in Your Organization

Unlock the potential of design thinking with our course, "Learning Design Thinking: Lead Change in Your Organization," offered by LinkedIn Learning. Delve into innovative problem-solving techniques that foster ideation and effective business solutions. Through this course, you will explore a range of strategies that include journey mapping, c.

Enhance security operations by using Microsoft Security Copilot

Module 1: Discover common AI workloads with Azure AI services and Microsoft's Responsible AI policies. Learn the potential AI solutions and responsible AI practices. Module 2: Understand generative AI and large language models as the foundation of AI applications. Explore examples of copilots and effective prompts..

Leveraging Llama2 for Advanced AI Solutions

Gain the skills and knowledge to harness the power of large language models with our comprehensive course on Llama2. Explore the intricacies of LLM architectures, fine-tuning techniques, and retrieval-augmented generation (RAG). Dive into practical experience with leading tools like Ollama, LangChain, Streamlit, and Hugging Face. This course.
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Multichannel Content Marketing

Conclude your marketing certificate journey with the Multichannel Content Marketing course. This advanced course draws on foundational marketing principles, equipping you for leadership roles in the real world. Modern marketers need to craft seamless and impactful campaigns that resonate with audiences across various platforms. Our course pr.

Generative AI and Blockchain

The "Generative AI and Blockchain" course offers a deep dive into the transformative potential of artificial intelligence and blockchain technology, specifically within the Web3 era. Start by exploring the Internet's evolution, from Web1 to the emerging Web3, and understand the Web3-AI stack's various layers. In Module 2, discover how blockch.
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Fundamentals of Machine Learning and Artificial Intelligence (日本語)

Fundamentals of Machine Learning and Artificial Intelligence (日本語) - AWS Skill Builder このコースでは、機械学習 (ML) と人工知能 (AI) の基礎について学びます。AI、ML、深層学習、そして生成人工知能 (生成 AI) という新たな分野の関係を探ります。基本的な AI 用語をしっかりと理解し、これらの概念をより深く掘り下げるための基礎を築きます。さらに、AI と ML.
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Exploring Artificial Intelligence Use Cases and Applications (繁體中文)

在本課程中,您將探索各種行業中人工智慧 (AI)、機器學習 (ML) 和生成人工智慧 (生成式 AI) 的實際使用案例。這些領域包括醫療保健、金融、行銷、娛樂等。您還將了解 AI、ML 和生成式 AI 功能和限制、模型選取技術,以及關鍵業務指標。 課程等級:基礎 課程時長:1 小時 注意:本課程具有本地化的註釋/字幕。旁白保留英語。要顯示字幕,請按一下播放器右下角的.
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Responsible Artificial Intelligence Practices (繁體中文)

Responsible Artificial Intelligence Practices (繁體中文) 在本課程中,您將學習 AI 實踐。首先,將為您介紹什麼是負責任的 AI。您將學習如何定義負責任的 AI、瞭解負責任的 AI 嘗試克服之挑戰,以及探索負責任 AI 的核心維度。 然後,您將深入探索一些主題,瞭解開發負責任的 AI 系統。將為您介紹由 AWS 提供,以協助您使用負責任的 AI 之服務和工具。您也將瞭解在為 AI.
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Developing Generative Artificial Intelligence Solutions (繁體中文)

在本課程中,您將會探索生成式人工智慧 (生成式 AI) 應用程式生命週期,其中包括以下內容: 定義商業使用案例 選取基礎模型 (FM) 改善 FM 的效能 評估 FM 的效能 部署及其對業務目標的影響 本課程是生成式 AI 課程的入門,其中深入探討使用提示詞工程、檢索增強生成 (RAG) 和微調來自訂 FM 的相關概念。 課程等級:基礎 課程時長:1 小時 注意:本課.
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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!