AI courses

2023 Courses

Exam Prep Official Practice Question Set: AWS Certified AI Practitioner (AIF-C01 - English)

Exam Prep Official Practice Question Set: AWS Certified AI Practitioner (AIF-C01 - English) Exam Prep Official Practice Question Set: AWS Certified AI Practitioner (AIF-C01 - English) includes 20 questions. This question set aligns with the AIF-C01 version of the exam and exam guide. About AWS Certification Exam Prep Official Practice Question S.
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Amazon Q Business Getting Started (Japanese)

*このコースは機械翻訳で対応されています。 Amazon Q Business は、生成人工知能 (生成 AI) を活用したアシスタントで、質問への回答、コンテンツの生成、要約の作成、およびタスクの完了をすべて企業内の情報に基づいて行うことができます。この入門コースでは、Amazon Q Business を使用するメリット、機能、一般的なユースケース、技術概念、コストについて学びます。.
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Amazon Q Business Getting Started (Japanese) (Sub) 日本語字幕版

Amazon Q Business Getting Started (Japanese) (Sub) 日本語字幕版 *このコースは機械翻訳で対応されています。 Amazon Q Business は、生成人工知能 (生成 AI) を活用したアシスタントで、質問への回答、コンテンツの生成、要約の作成、およびタスクの完了をすべて企業内の情報に基づいて行うことができます。この入門コースでは、Amazon Q Business を使用するメリット、機.
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Developing Machine Learning Solutions (Korean)

Developing Machine Learning Solutions (Korean) 이 기계 학습 과정에서는 기계 학습 수명 주기와 모든 단계에서 AWS 서비스를 사용하는 방법을 알아봅니다. 또한 기계 학습 모델에 대한 다양한 소스를 검색하고 해당 모델의 성능을 평가하는 기법도 알아봅니다. 기계 학습 프로젝트의 개발 및 배포를 간소화하는 데 있어 기계 학습 운영(MLOps)의 중요성도 이해합니다..
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Introduction to AWS Inferentia and Amazon EC2 Inf1 Instances (Japanese)

Introduction to AWS Inferentia and Amazon EC2 Inf1 Instances (Japanese) この動画では、機械学習の推論処理の課題とユースケースについて学び、これらの課題の解決に役立つ、AWS Inferentia 搭載の Amazon EC2 Inf1 インスタンスを使った AWS ソリューションについて理解します。機械学習の推論処理用に設計された AWS Inferentia のカスタムチップや、AWS Inferentia を.
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Machine Learning Essentials for Business and Technical Decision Makers (Japanese)

Machine Learning Essentials for Business and Technical Decision Makers (Japanese) 3つのコースからなるこのカリキュラムでは、機械学習 (ML) のためのベストプラクティスと推奨事項について学習します。このコースでは、ビジネスプロセスへのMLの統合に向けたロードマップの作成方法を見ていきます。また、MLがビジネス上の問題への適切な解決策であるかどうかを判断する.
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Machine Learning Terminology and Process (Japanese)

Machine Learning Terminology and Process (Japanese) このコースでは、基本的な機械学習の概念とデータを処理する機械プロセスを紹介します。 機械学習プロセスの各ステップを詳細に調べて、機械学習プロジェクトのフェーズで発生する一般的な用語とテクニックについて説明します。 コースの目標 このコースの学習内容は、以下の通りです。 機械学習プロセスについて説.
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AWS Foundations: How Amazon SageMaker Can Help (Japanese)

AWS Foundations: How Amazon SageMaker Can Help (Japanese) Amazon SageMaker により、機械学習のパイプライン実装における主な課題がどのように解消されるのかを学習します。このコースでは、SageMaker ノートブックとインスタンスが機械学習ワークローの強化をサポートする方法を学び、Amazon SageMaker の主な機能を復習します。 コースレベル: 基礎 実施形式: デジタル.
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Cloud for CTOs (Japanese)

Cloud for CTOs (Japanese) このコースでは、クラウドコンピューティングテクノロジーの概要を説明します。Chief Technology Officer (CTO) が、組織をお客様のニーズに合わせていくためにどのようにクラウドを使用できるのかを学びます。また、スケーラブルでコスト効率がよく利用しやすいテクノロジーソリューションを通じて、高度なユーザーエクスペリエンスを提供する方法.
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AWS Foundations: Machine Learning Basics (Japanese)

AWS Foundations: Machine Learning Basics (Japanese) Explore the basics of AWS cloud infrastructure with a focus on machine learning, delivered in Japanese. This comprehensive course offered by AWS Skill Builder covers essential topics across various machine learning disciplines, including supervised and unsupervised learning, deep learning, rei.
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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!