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.
A company's ML engineer has deployed an ML model for sentiment analysis to an Amazon SageMaker endpoint. The ML engineer needs to explain to company stakeholder...
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Get Started FreeAn ML engineer is using Amazon SageMaker to train a deep learning model that requires distributed training. After some training attempts, the ML engineer observ...
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Get Started FreeA company is running ML models on premises by using custom Python scripts and proprietary datasets. The company is using PyTorch. The model building requires un...
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Get Started FreeA company is using Amazon SageMaker and millions of files to train an ML model. Each file is several megabytes in size. The files are stored in an Amazon S3 buc...
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Get Started FreeA company wants to develop an ML model by using tabular data from its customers. The data contains meaningful ordered features with sensitive information that s...
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