AWS Skill Builder Courses

Amazon Web Services;  Amazon

Amazon Q Introduction (简体中文)

了解 Amazon Q 这款基于生成式AI的助手如何提升工作效率，掌握其主要功能和应用场景，探索与企业系统的集成方式。

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

Amazon Web Services;  Amazon

Generative BI with Amazon Q in Quicksight - Getting Started (简体中文)

Dive into generative BI capabilities using Amazon Q in QuickSight, mastering natural language queries for data insights and dashboard creation with LLM-powered analytics.

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

Amazon Web Services;  Amazon

AWS ML Engineer Associate 4.2 Monitor and Optimize Infrastructure and Costs (简体中文)

Master AWS ML infrastructure monitoring and cost optimization techniques for efficient performance tracking and resource management in machine learning deployments.

• AWS Skill Builder
• 2 hours 30 minutes
• Self-Paced
• Paid Course

Amazon Web Services;  Amazon

AWS ML Engineer Associate 4.1 Monitor Model Performance and Data Quality (简体中文)

Master Amazon SageMaker's monitoring capabilities to detect data drift, model quality issues, and bias in ML solutions. Learn to implement automated remediation workflows and maintain high-performing ML systems.

• AWS Skill Builder
• 2 hours 30 minutes
• Self-Paced
• Paid Course

Amazon Web Services;  Amazon

AWS ML Engineer Associate 2.1 Choose a Modeling Approach (한국어)

AWS ML 스택과 SageMaker를 활용하여 비즈니스 문제 해결을 위한 기계학습 모델링 접근법과 최적의 알고리즘 선택 방법을 마스터하세요. AI 서비스부터 사전 훈련된 솔루션까지 포괄적으로 다룹니다.

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

Amazon Web Services;  Amazon

AWS ML Engineer Associate 3.2 Create and Script Infrastructure (한국어)

Dive into ML infrastructure automation on AWS, mastering IaC, containerization, and auto-scaling using CloudFormation, CDK, and SageMaker SDK for efficient model deployment and hosting.

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

Amazon Web Services;  Amazon

AWS ML Engineer Associate Curriculum Overview (한국어

Dive into AWS ML 엔지니어 어소시에이트의 기초부터 Amazon SageMaker를 활용한 ML 모델 구축, 훈련, 배포까지 전반적인 기계학습 개발 과정을 탐구하는 입문 가이드.

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

Amazon Web Services;  Amazon

AWS ML Engineer Associate 1.3 Validate Data and Prepare for Modeling (한국어)

Dive into ML 데이터 검증과 준비 과정을 통해 데이터 편향 완화, 보안 전략, AWS Glue DataBrew 활용법을 배우고 모델 훈련을 위한 데이터셋 구성 및 최적화 방법을 마스터하세요.

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

Amazon Web Services;  Amazon

AWS ML Engineer Associate 1.1 Collect, Ingest, and Store Data (한국어)

Dive into ML data lifecycle fundamentals, covering data types, AWS storage services like S3, and efficient data collection methods using Amazon Kinesis for machine learning applications.

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

Amazon Web Services;  Amazon

AWS ML Engineer Associate Curriculum Conclusion (한국어)

Discover how to advance your ML engineering journey with AWS through comprehensive resources, next steps, and a downloadable curriculum guide for continued learning.

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

Amazon Web Services;  Amazon

AWS ML Engineer Associate Curriculum Conclusion (简体中文)

Gain insights into AWS ML Engineer Associate certification path resources and next steps for advancing your machine learning engineering career on AWS platform.

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

Amazon Web Services;  Amazon

AWS ML Engineer Associate 4.3 Secure AWS ML Resources (简体中文)

Master AWS ML资源安全配置，从IAM策略到SageMaker端点保护，掌握最低权限原则和VPC网络设置，确保机器学习解决方案的安全性与合规性。

• AWS Skill Builder
• 2 hours 15 minutes
• Self-Paced
• Paid Course

Amazon Web Services;  Amazon

Decarbonization with AWS Introduction (简体中文)

了解如何利用AWS客户碳足迹工具和资源来实现企业可持续发展目标，掌握Well-Architected Framework方法推动脱碳进程的关键策略。

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

Amazon Web Services;  Amazon

AWS ML Engineer Associate 3.3 Automate Deployment (简体中文)

Master MLOps practices and automate ML workflows using AWS services, from CI/CD pipeline implementation to model deployment and retraining mechanisms for production environments.

• AWS Skill Builder
• 1 hour 15 minutes
• Self-Paced
• Paid Course

Amazon Web Services;  Amazon

AWS ML Engineer Associate Curriculum Overview (简体中文)

Dive into machine learning fundamentals, exploring ML lifecycle, business objectives, and Amazon SageMaker for building, training, and deploying ML models with AWS services. Includes hands-on exercises and knowledge assessments.

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