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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.
An introductory course on responsible AI covering bias, generative AI risks, model and dataset selection, and transparent, explainable, human-centered design.
Transforms machine-learning data through cleaning, encoding, feature engineering, and AWS services including SageMaker Data Wrangler, Feature Store, and AWS Glue.
Prepare machine learning data by validating quality, mitigating bias, securing datasets, and configuring data for model training.
Choose AWS storage services and data formats for collecting, ingesting, extracting, and merging machine-learning data.
Build no-code machine learning and generative AI workflows in Amazon SageMaker Canvas, from data preparation and training to predictions, deployment, and RAG.
Learn to build, evaluate, deploy, and use generative AI models in Amazon SageMaker Canvas without writing code.
使用 Amazon SageMaker 内置算法、脚本模式和预构建容器训练机器学习模型,并优化训练时间。
学习根据业务需求选择 AWS 机器学习模型、算法及预训练解决方案,并权衡可诠释性与成本。
AWS Certified SysOps Administrator – Associate試験の出題分野と例題を確認し、知識の強みと弱みを特定して試験準備を整えます。
Learn to integrate synchronous and asynchronous AWS Lambda functions into Amazon Connect flows while handling integration errors and monitoring their impact.
学习为机器学习任务选择 AWS 存储和数据格式,并使用 Kinesis 摄取、提取和合并数据。
Design IPv6-only and dual-stack AWS networks, covering global and hybrid connectivity, security, monitoring, and adoption planning.
Learn IPv6 addressing, adoption strategies, and Amazon VPC connectivity for designing IPv6-enabled workloads on AWS.
Learn to design IPv6 application networking on AWS using load balancers, VPC Lattice, containers, serverless services, CloudFront, and Global Accelerator.
Pengantar praktis AWS yang memandu Anda menjelajahi layanan inti, konsol AWS, dan penerapan solusi cloud yang aman, tersedia, toleran terhadap kesalahan, dan dapat diskalakan.
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