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 is developing a classification model to predict profitability. The company wants to incorporate new unstructured data that the company bought from ano...
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Get Started FreeA company is developing ML models by using PyTorch and TensorFlow estimators with Amazon SageMaker AI. An ML engineer configures the SageMaker AI estimator and...
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Get Started FreeAn ML engineer is preparing a dataset of medical records to train an ML model. The model will predict the likelihood of patients developing a specific disease....
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Get Started FreeAn ML engineer used Amazon SageMaker Studio to train a neural network. The neural network logs its information into TensorBoard and uses stochastic gradient des...
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Get Started FreeA company wants to use large language models (LLMs) that are supported by Amazon Bedrock to develop a chat interface for the company’s internal technical docume...
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