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AWS ML Visão geral do curso de engenheiro associado (Português) | AWS ML Engineer Associate Curriculum Overview (Portuguese)

Neste curso introdutório à grade curricular de engenheiros de ML associados da AWS, você analisa os conceitos básicos de machine learning (ML) e examina a evolução do machine learning e da IA. Você explora as primeiras etapas do ciclo de vida do ML, identificando uma meta de negócios e formulando um problema de ML com base nessa meta de negócios. F.
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AWS ML Engineer Associate Curriculum Overview (Japanese)

AWS ML Engineer Associate Curriculum のこの入門コースでは、機械学習 (ML) の基礎を復習し、ML と AI の進化について確認します。ML ライフサイクルの最初のステップとして、ビジネス目標を特定し、そのビジネス目標に基づいて ML の問題を定式化します。最後に、ML モデルの構築、トレーニング、デプロイに使用できるフルマネージド型 AWS サービスである Amazon SageMak.
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Amazon Q Introduction (Thai)

Amazon Q Introduction (Thai) หลักสูตรนี้ให้ภาพรวมระดับสูงของ Amazon Q ซึ่งเป็นผู้ช่วยที่ขับเคลื่อนด้วยปัญญาประดิษฐ์ (AI) ช่วยสร้าง คุณจะได้เรียนรู้เกี่ยวกับกรณีใช้งานและข้อดีของการเชื่อมโยง Amazon Q กับข้อมูล โค้ด และระบบของบริษัทของคุณ นอกจากนี้คุณยังจะพบข้อมูลเพิ่มเติมเพื่อพัฒนาเส้นทางการเรียนรู้ของคุณตามความสนใจของคุณในกรณีใช้งานเฉพาะ ทั้งผู้.
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Cibersegurança: Anatomia Clássica de um Ciberataque

Cibersegurança: Anatomia Clássica de um Ciberataque O curso Cibersegurança: Anatomia Clássica de um Ciberataque explora o valor da inteligência para o controle de ameaças cibernéticas, evidenciando a importância de pensar a segurança da informação como um tema corporativo, que envolve todas as áreas da organização. Autor: Alvaro Luiz Massad Ma.
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Introdução à Ética e à Inovação Responsável com Dados

Introdução à Ética e à Inovação Responsável com Dados O curso Introdução à Ética e à Inovação Responsável com Dados pretende contribuir para o desenvolvimento de uma ética profissional adequada para quem manipula dados, além de estimular profissionais a buscarem ferramentas para solucionar dilemas ou problemas morais ou jurídicos do dia a dia do.
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Responsible AI for Developers: Fairness & Bias - 한국어

Responsible AI for Developers: Fairness & Bias - 한국어 Title: Responsible AI for Developers: Fairness & Bias - 한국어 Description: 이 과정에서는 책임감 있는 AI라는 개념과 AI 원칙을 소개합니다. 공정성과 편향을 실질적으로 식별하고 AI/ML 실무에서 편향을 완화하는 기법을 알아봅니다. Google Cloud 제품과 오픈소스 도구를 사용하여 책임감 있.
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Gemini for Network Engineers - Bahasa Indonesia

Gemini for Network Engineers - Bahasa Indonesia Dalam kursus ini, Anda akan mempelajari cara Gemini, kolaborator yang didukung AI generatif dari Google Cloud, dalam membantu engineer jaringan membuat, mengupdate, dan memelihara jaringan VPC. Anda akan mempelajari cara memanfaatkan Gemini untuk memberikan panduan spesifik untuk tugas-tugas jaring.
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Gemini for Data Scientists and Analysts - 日本語版

Gemini for Data Scientists and Analysts - 日本語版 このコースでは、生成 AI を活用した Google Cloud のコラボレーターである Gemini が、顧客データの分析や商品売上の予測にどのように役立つかについて学びます。また、BigQuery で顧客データを使用して、新規顧客を特定、分類、発見する方法も学習します。ハンズオンラボでは、Gemini でデータ分析と ML のワークフ.
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Introduction to Large Language Models - Deutsch

Introduction to Large Language Models - Deutsch In diesem Einführungskurs im Microlearning-Format wird untersucht, was Large Language Models (LLM) sind, für welche Anwendungsfälle sie genutzt werden können und wie die LLM-Leistung durch Feinabstimmung von Prompts gesteigert werden kann. Darüber hinaus werden Tools von Google be.
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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.

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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!