本文為英文版的機器翻譯版本，如內容有任何歧義或不一致之處，概以英文版為準。

# 後續步驟
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若要透過採用可擴展機器學習框架來釋放資料的商業價值，請考慮下列後續步驟：

1. [請聯絡 AWS 銷售代表](https://aws.amazon.com/contact-us/sales-support/)或 [AWS Professional Services 代表](https://pages.awscloud.com/AWS-Professional-Services.html)。

1. 為組織中合適的團隊成員尋求培訓和認證機會：
   + [AWS 訓練和認證](https://www.aws.training/)
   + [上的 MLOps 工程 AWS](https://aws.amazon.com/training/classroom/mlops-engineering-on-aws/)
   + [AWS 認證大數據 - 專業](https://aws.amazon.com/certification/certified-big-data-specialty/)
   + [AWS 認證的Machine Learning - 專業](https://aws.amazon.com/certification/certified-machine-learning-specialty/)
   + [AWS 認證的 DevOps 工程師 - 專業](https://aws.amazon.com/certification/certified-devops-engineer-professional/)
   + [AWS 私有訓練 - 資訊請求](https://pages.awscloud.com/AWS_TRAINCERT_Contact_Us.html?cta=tm-training)