Amazon Web Services Courses

AWS ML Engineer Associate 2.4 Analyze Model Performance (简体中文)

Dive into 机器学习模型性能分析，掌握评估指标、收敛问题诊断和 Amazon SageMaker 工具的应用，提升模型开发和调优能力。

• AWS Skill Builder
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Essentials of Prompt Engineering (한국어)

프롬프트 엔지니어링의 핵심 기술을 마스터하고 zero-shot, few-shot, chain-of-thought 프롬프팅을 통해 AI 모델과의 효과적인 상호작용 방법을 습득하세요.

• AWS Skill Builder
• 1 hour
• Self-Paced
• Free Certificate

Lab - Analyze and Prepare Data with Amazon SageMaker Data Wrangler and Amazon EMR (简体中文)

Discover how to prepare and analyze data using SageMaker Data Wrangler and EMR for predicting citizen income eligibility, with hands-on experience in data visualization, transformation, and Apache Spark integration.

• AWS Skill Builder
• 1 hour
• Self-Paced
• Paid Course

AWS ML Engineer Associate 1.1 Collect, Ingest, and Store Data (简体中文)

Dive into ML数据准备的核心概念，掌握AWS存储服务、数据类型识别、可视化分析以及使用Amazon Kinesis进行数据摄取的实用技能。

• AWS Skill Builder
• 1 hour
• Self-Paced
• Paid Course

AWS ML Engineer Associate 2.2 Train Models (简体中文)

Dive into AWS SageMaker's model training capabilities, from selecting compute environments to using built-in algorithms and popular frameworks like TensorFlow and PyTorch. Includes hands-on practice with script mode and optimization techniques.

• AWS Skill Builder
• 1 hour 30 minutes
• Self-Paced
• Paid Course

AWS ML Engineer Associate 2.1 Choose a Modeling Approach (简体中文)

Dive into AWS ML stack layers and discover how to leverage AI services, SageMaker algorithms, and pre-trained solutions like JumpStart and Bedrock to solve business challenges effectively.

• AWS Skill Builder
• 1 hour 30 minutes
• Self-Paced
• Paid Course

AWS ML Engineer Associate 1.3 Validate Data and Prepare for Modeling (简体中文)

Dive into machine learning data preparation strategies, focusing on bias mitigation, data validation, and security using AWS tools like SageMaker Clarify, Glue DataBrew, and data quality services.

• AWS Skill Builder
• 45 minutes
• Self-Paced
• Paid Course

Optimizing Foundation Models (한국어)

파운데이션 모델의 성능을 향상시키는 RAG와 파인 튜닝 기법을 탐구하고 AWS 서비스를 활용한 실용적인 구현 방법을 습득하세요.

• AWS Skill Builder
• 1 hour
• Self-Paced
• Free Certificate

AWS ML Engineer Associate 2.4 Analyze Model Performance (Japanese) 日本語吹き替え版

Master MLモデルのパフォーマンス分析、評価手法、SageMaker Clarifyやデバッガーを活用した問題解決手法を学び、再現性のある実験の実施方法を習得します。

• AWS Skill Builder
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Amazon Q Business Getting Started (한국어)

Discover how to leverage Amazon Q Business, a generative AI assistant that answers queries, creates content, and completes tasks using enterprise data, with hands-on setup guidance and practical use cases.

• AWS Skill Builder
• 40 minutes
• Self-Paced
• Free Certificate

Developing Machine Learning Solutions (한국어)

Discover AWS의 기계 학습 수명 주기와 MLOps의 기본 개념을 배우고 Amazon SageMaker를 활용하여 ML 솔루션을 개발하고 배포하는 방법을 익히세요.

• AWS Skill Builder
• 1 hour
• Self-Paced
• Free Certificate

Digital Classroom - Planning and Designing Databases on AWS (한국어)

Dive into AWS 클라우드 데이터베이스 솔루션의 계획과 설계를 통해 목적별 데이터베이스 서비스의 특징, 기능, 설계 고려사항을 파악하고 조직에 최적화된 데이터베이스 솔루션을 구축하는 방법을 습득합니다.

• AWS Skill Builder
• 1 day
• Self-Paced
• Paid Course

Digital Classroom - Planning and Designing Databases on AWS (简体中文)

掌握如何在AWS上规划和设计数据库解决方案，包括RDS、DynamoDB等多种专用数据库服务的选择、设计和安全性考虑，以满足企业特定需求。

• AWS Skill Builder
• 1 day
• Self-Paced
• Paid Course

Developing Generative Artificial Intelligence Solutions (한국어)

생성형 AI 애플리케이션의 전체 수명주기를 탐구하며 파운데이션 모델 선택, 성능 개선, 평가 및 배포 방법을 마스터하세요. 프롬프트 엔지니어링과 RAG를 통해 실용적인 AI 솔루션을 구축하는 방법을 배웁니다.

• AWS Skill Builder
• 1 hour
• Self-Paced
• Free Certificate

Exploring Artificial Intelligence Use Cases and Applications (한국어)

다양한 산업 분야에서 AI, ML, 생성형 AI의 실제 활용 사례를 탐구하고 각 기술의 기능, 한계, 모델 선택 방법 및 비즈니스 성과 측정 방법을 파악합니다.

• AWS Skill Builder
• 1 hour
• Self-Paced
• Free Certificate