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 is collecting data to train a classification ML model by using Amazon SageMaker AI. The target column can have two possible values: Class A or Cl...
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Get Started FreeAn ML engineer is building a logistic regression model to predict customer churn for subscription services. The ML engineer is using a dataset that contains two...
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Get Started FreeHOTSPOT - An ML engineer needs to use Amazon SageMaker to develop an ML solution for a company. The solution will use streaming video from cameras to count the...
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Get Started FreeA company needs to deploy a custom-trained classification ML model on AWS. The model must make near real-time predictions with low latency and must handle varia...
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Get Started FreeA company runs a neural network model and retrains the model when the performance degrades. The company uses a training job that uses Amazon SageMaker AI distri...
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