This certification validates practical ability to design, deploy, and operate scalable cloud services, with emphasis on artificial intelligence and machine learning. It is intended for professionals who manage reliable, secure, and cost-aware environments.
An ML engineer needs to deploy ML models to get inferences from large datasets in an asynchronous manner. The ML engineer also needs to implement scheduled moni...
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Get Started FreeAn ML engineer normalized training data by using min-max normalization in AWS Glue DataBrew. The ML engineer must normalize the production inference data in the...
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Get Started FreeA company is planning to use Amazon SageMaker to make classification ratings that are based on images. The company has 6 ТВ of training data that is stored on a...
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Get Started FreeA company regularly receives new training data from the vendor of an ML model. The vendor delivers cleaned and prepared data to the company's Amazon S3 bucket e...
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Get Started FreeAn ML engineer is developing a fraud detection model by using the Amazon SageMaker XGBoost algorithm. The model classifies transactions as either fraudulent or...
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