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Fundamentals of Machine Learning and Artificial Intelligence (Japanese)
Fundamentals of Machine Learning and Artificial Intelligence (Japanese)
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 の機能を使用するさ.
Essentials of Prompt Engineering (Japanese)
Essentials of Prompt Engineering (Japanese)
効果的なプロンプトの作成方法の基礎を学ぶこのコースでは、さまざまなユースケースに合わせてプロンプトを調整および最適化する方法について学習します。また、ゼロショット、フューショット、思考連鎖プロンプトなどの手法や、プロンプトエンジニアリングに関連する潜在的なリスクの特定方法についても理解を深めます。
・コ.
EPIC Nexus Registration
EPIC Nexus Registration
Welcome to the EPIC Nexus Registration Event, hosted by AWS Skill Builder. This is an unparalleled opportunity to elevate your skills and knowledge with guidance from a renowned university. Don't miss out on this chance for educational and professional growth.
Categories: Education, Skills, AWS Training.
Optimizing Foundation Models (Japanese)
Optimizing Foundation Models (Japanese)
このコースでは、基盤モデル (FM) のパフォーマンスを向上させる 2 つの手法である検索拡張生成 (RAG) とファインチューニングについて取り上げます。埋め込みを使用してエンコードしたベクトルを保存できるベクトルデータベースの AWS サービス、マルチステップタスクにおけるエージェントの役割、FM をファインチューニングするた.
Developing Machine Learning Solutions (Japanese)
Developing Machine Learning Solutions (Japanese)
この機械学習コースでは、機械学習のライフサイクルについて、および各段階での AWS サービスの使用方法について学習します。さらに、機械学習モデルについてのさまざまなソースを発見し、そのパフォーマンスを評価する手法について学習します。また、機械学習プロジェクトの開発とデプロイを効率化するうえで機械学習オペ.
AWS ML Engineer Associate Curriculum Overview
AWS ML Engineer Associate Curriculum Overview
In this introductory course to the AWS ML Engineer Associate Curriculum, you review machine learning (ML) basics and examine the evolution of ML and AI. You explore the first steps in the ML lifecycle, identifying a business goal and formulating an ML problem based on that.
AWS Engenheiro de ML AWS Associate 2.1: Como definir uma estratégia de modelagem (Português) | AWS ML Engineer Associate 2.1 Choose a Modeling Approach (Portuguese)
AWS Engenheiro de ML AWS Associate 2.1: Como definir uma estratégia de modelagem (Português) | AWS ML Engineer Associate 2.1 Choose a Modeling Approach (Portuguese)
Saiba mais sobre as camadas da pilha de ML da AWS e veja como é possível solucionar problemas de negócios utilizando os serviços AWS. Neste curso, você aprenderá a utilizar o Amazon Sa.
Segurança, conformidade e governança para soluções de IA (Português) | Security, Compliance, and Governance for AI Solutions (Portuguese)
Segurança, conformidade e governança para soluções de IA (Português) | Security, Compliance, and Governance for AI Solutions (Portuguese)
Neste curso, você vai entender alguns problemas comuns relacionados a segurança, conformidade e governança de soluções de IA. Você vai aprender a identificar os requisitos de governança e de conformidad.
Data Engineering on AWS - A Data Lake Solution (Includes Labs)
Data Engineering on AWS - A Data Lake Solution (Includes Labs)
Explore how to engineer data solutions on AWS with this comprehensive course, focusing on Data Lake Solutions and practical labs.
Module 1: Building a Data Lake Solution (75 min)
Module 2: Data Engineering on AWS: A Data Lake Solution - Lab 1 (60 min)
Module 3: Optimizing and Securi.
AWS Flash - Unleashing Innovation: The Generative AI Revolution
AWS Flash - Unleashing Innovation: The Generative AI Revolution
We find ourselves in a society where the line between what is created by humans, and what is created by machines, is increasingly blurred. Generative AI has been a turning point in how we create, design, and interact with technology. But how does it work, what are the benefits beyond.
Exploring Artificial Intelligence Use Cases and Applications (Japanese) (Sub) 日本語字幕版
Exploring Artificial Intelligence Use Cases and Applications (Japanese) (Sub) 日本語字幕版
このコースでは、さまざまな業界における人工知能 (AI)、機械学習 (ML)、生成人工知能 (生成 AI) の実際のユースケースを確認します。これらの業界には、ヘルスケア、金融、マーケティング、エンターテインメントなどがあります。また、AI、機械学習、生成 AI の機能と制限、モ.
Developing Generative Artificial Intelligence Solutions (Korean)
Developing Generative Artificial Intelligence Solutions (Korean)
이 과정에서는 다음을 포함하는 생성형 인공 지능(생성형 AI) 애플리케이션 수명 주기를 살펴봅니다.
비즈니스 사용 사례 정의
파운데이션 모델(FM) 선택
FM 성능 개선
FM 성능 평가
배포 및 비즈니스 목표에 미치는 영향
이 과정은 생성형 AI 입문 과정으로, 프롬프트 엔지니어링, 검색 증강.