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AWS Skill Builder is an Amazon-hosted platform for developers to create, manage and deploy Alexa skills. It provides a range of resources and tools to help you build your skills quickly and easily.
Explore how Esri GIS workloads use AWS cloud infrastructure, including partnership benefits, relevant services, security controls, and ArcGIS Enterprise deployment concepts.
Monitor .NET microservices on Amazon EKS with CloudWatch Application Signals, using service maps, SLOs, and correlated telemetry to troubleshoot performance.
Learn how Amazon SageMaker AI supports machine learning and use its AWS Management Console to create a notebook, run sample code, train a model, and generate predictions.
AWS 기반 LLMOps 참조 아키텍처를 통해 LLM 애플리케이션의 개발, 배포, 평가 및 운영을 살펴봅니다.
AWS上で生成AIアプリケーションを構築・自動化し、LLMのファインチューニングやベクトルデータベース活用を実践するゲームベースのシミュレーション。
Train machine learning models in Amazon SageMaker by selecting compute environments, using built-in algorithms and script mode, and reducing training time.
Refine machine learning models through regularization, ensemble methods, hyperparameter optimization, pruning, fine-tuning, and versioning with Amazon SageMaker.
Implement proficiency-based, priority, and data-driven routing strategies in Amazon Connect contact centers.
Analyze machine learning model performance with classification and regression metrics, convergence diagnostics, and Amazon SageMaker tools.
Choose cost-efficient, interpretable machine learning approaches across AWS AI services, SageMaker algorithms, JumpStart solutions, and Bedrock built-in solutions.
Explore data engineering roles, discovery, architectures, pipelines, security, and AWS tools including CI/CD, IaC, serverless applications, and cost optimization.
Hands-on SageMaker lab for training models with built-in XGBoost and custom script-mode code, importing dependencies, tuning hyperparameters, and evaluating predictions.
Hands-on lab for visualizing, cleaning, and transforming datasets with SageMaker Data Wrangler, then querying them with Spark on Amazon EMR.
Plan and perform lift-and-shift migrations to AWS using assessment, discovery, migration, and tracking services.
Pelajari cara memilih, mengonfigurasi, memantau, dan mengelola volume serta snapshot Amazon EBS untuk berbagai beban kerja cloud.
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