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Generative BI with Amazon Q in Quicksight - Getting Started (Indonesian)

Generative BI dengan Amazon Q di QuickSight - Panduan Awal (Bahasa Indonesia) Amazon Q di QuickSight memperkenalkan rangkaian kemampuan intelijen bisnis (BI) baru dengan menggunakan model bahasa besar (LLM) dari Amazon Bedrock dan menggabungkannya dengan kemampuan Amazon QuickSight. Dalam kursus ini, Anda akan belajar tentang konsep teknis dan m.
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Generative BI with Amazon Q in Quicksight - Getting Started (Korean)

Generative BI with Amazon Q in QuickSight - Getting Started (Korean) Amazon Q in QuickSight는 Amazon Bedrock의 대규모 언어 모델(LLM)을 사용하고 이를 Amazon QuickSight의 기능과 결합하여 새로운 비즈니스 인텔리전스(BI) 기능 제품군을 소개합니다. 이 과정에서는 Amazon Q in QuickSight 사용과 관련된 기술적 개념과 이점에 대해 알아봅니다. Amazon Q in QuickS.
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Amazon Q Introduction (Korean)

이 과정에서는 생성형 인공 지능(AI) 기반 어시스턴트인 Amazon Q에 대해 개략적으로 설명합니다. Amazon Q를 회사 정보, 코드 및 시스템에 연결할 때의 사용 사례와 이점에 대해 알아봅니다. 또한 특정 사용 사례에 대한 관심을 기반으로 학습 여정을 발전시킬 수 있는 추가 정보도 찾을 수 있습니다. 기술 학습자와 비기술 학습자 모두 어떻게 Amazon Q가 안전한 방식으로 생.
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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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Artificial Intelligence (AI) Education has become an integral part of the academic curriculum in universities around the world. As the demand for AI professionals continues to soar, educational institutions are expanding their offerings to include specialized courses and programs tailored to meet the needs of the industry. In this digital age, online college courses have emerged as a convenient and flexible way for students to acquire new skills and knowledge in the field of artificial intelligence.

The Rise of Online Universities Courses in AI Education

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The Role of Universities in Shaping the Future of AI

Universities play a crucial role in advancing AI education by offering specialized courses and degree programs in artificial intelligence. From universities AI courses to artificial intelligence uni programs, students have a wide array of options to choose from based on their interests and career goals. Leading institutions are at the forefront of research and innovation, ensuring that students receive a top-notch education that prepares them for success in the field.

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When it comes to pursuing a career in artificial intelligence, choosing the right educational institution is key. The best colleges for artificial intelligence are known for their cutting-edge research, world-class faculty, and state-of-the-art facilities. Whether you're interested in pursuing an artificial intelligence course at a university or an AI education firm, it's essential to select a program that aligns with your aspirations and aspirations.

In conclusion, the field of artificial intelligence is rapidly evolving, and staying ahead of the curve requires continuous learning and skill development. With the proliferation of online university courses and specialized AI programs, students have unprecedented opportunities to explore the vast potential of AI education. By harnessing the power of technology and innovation, the future of AI education with AI Eeducation college courses looks brighter than ever before.

With the development of artificial intelligence technologies, online courses are becoming increasingly popular among students and professionals. These courses offer a unique opportunity to learn advanced AI technologies and techniques from the comfort of your home. The development of online education in the field of artificial intelligence pays increased attention to practical skills and the application of knowledge in real projects.

Pluses of online education in AI

With the development of artificial intelligence technologies, online education will play an increasingly important role in training specialists in this field. The opportunity to learn advanced technologies and methods, exchange experiences with colleagues from around the world and participate in real-life projects will make online learning in the field of AI an integral part of the education of the future!