AWS Skill Builder Courses

Amazon Web Services;  Amazon

AWS ML Engineer Associate 3.1 Select a Deployment Infrastructure

Select AWS production and inference infrastructure for deploying machine learning models, from orchestration and hosting strategies to compute resources and edge optimization.

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

Amazon Web Services;  Amazon

AWS ML Engineer Associate 3.3 Automate Deployment

Automate ML deployments with MLOps, CI/CD pipelines, AWS services, deployment strategies, and model retraining mechanisms for production environments.

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

Amazon Web Services;  Amazon

AWS ML Engineer Associate 3.2 Create and Script Infrastructure

Learn to provision, deploy, and scale machine learning infrastructure in AWS using infrastructure as code.

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

Amazon Web Services;  Amazon

Digital Classroom - Amazon SageMaker Studio for Data Scientists

Use Amazon SageMaker Studio to prepare, build, train, deploy, and monitor tabular machine learning models across the ML lifecycle.

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

Amazon Web Services;  Amazon

Amazon Q Business Getting Started (Japanese) (Sub) 日本語字幕版

サンプルドキュメントを使ったガイド付きチュートリアルで、Amazon Q Business のウェブエクスペリエンスを作成する入門コース。

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

Amazon Web Services;  Amazon

Amazon Q Developer Getting Started (Japanese) (Sub) 日本語字幕版

Amazon Q DeveloperをIDEで活用し、コードの最適化・変換や新機能の実装を体験する入門コース。

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

Amazon Web Services;  Amazon

Lab - Orchestrate a Machine Learning Workflow using Amazon SageMaker Pipelines and SageMaker Model Registry

Hands-on lab for orchestrating automated machine learning workflows with SageMaker Pipelines and registering trained models in the SageMaker Model Registry.

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

Amazon Web Services;  Amazon

EPIC Nexus Registration

Build emotional intelligence for resilience, psychological safety, trust, influence, and stronger teamwork in challenging leadership environments.

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

Amazon Web Services;  Amazon

Amazon Q Business Getting Started (Korean)

기업 정보로 질문에 답하고 콘텐츠를 생성·요약하며 태스크를 완료하는 Amazon Q Business를 설정하고 사용하는 방법을 안내합니다.

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

Amazon Web Services;  Amazon

Lab - Amazon DocumentDB Lab - Performance Tuning Techniques

Hands-on lab for diagnosing Amazon DocumentDB bottlenecks with CloudWatch and Performance Insights, then improving query performance through indexing and read replicas.

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

Amazon Web Services;  Amazon

Lab - Data Modeling for Amazon DynamoDB

Hands-on lab designing DynamoDB tables and indexes around application access patterns, including overloaded and sparse global secondary indexes.

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

Amazon Web Services;  Amazon

Generative BI with Amazon Q in Quicksight - Getting Started (Japanese) 日本語字幕版

Amazon Q in QuickSight のアーキテクチャと、自然言語クエリやデータストーリーを使った BI 活用の基礎を学ぶ。

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

Amazon Web Services;  Amazon

Digital Classroom - Generative AI for Executives

An executive-focused course on turning generative AI into organizational value through use cases, responsible practices, and an integration plan.

• AWS Skill Builder
• 4 hours
• Self-Paced
• Paid Course

Amazon Web Services;  Amazon

AWS ML Engineer Associate 4.2 Monitor and Optimize Infrastructure and Costs

Monitor, troubleshoot, rightsize, and control costs for AWS machine learning infrastructure using observability, performance, and cost-management tools.

• 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

Monitor production machine learning systems with Amazon SageMaker, detecting data drift, model quality issues, bias, and attribution drift to support remediation and retraining.

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