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.
HOTSPOT - An ML engineer needs to use Amazon SageMaker hyperparameter tuning to reduce the training time for an ML model. Select and order the correct steps fro...
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Get Started FreeHOTSPOT - A company develops an ML model to classify products. The model uses textual data and visual data to classify the products into a hierarchical taxonomy...
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Get Started FreeA retail company is creating an AI-powered assistant for customers. The company has a large body of documentation that the assistant needs to use for general in...
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Get Started FreeHOTSPOT - An ML engineer needs to automate the rebuild and redeployment of an ML model. Updates will occur when changes are made to the model’s code base. The M...
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Get Started FreeHOTSPOT - An airline company deploys ML models to one dozen Amazon SageMaker AI inference endpoints. The inference endpoints must be able to handle different ty...
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