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 use AWS CloudFormation to create an ML model that an Amazon SageMaker endpoint will host. Which resource should the ML engineer declare...
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Get Started FreeAn advertising company uses AWS Lake Formation to manage a data lake. The data lake contains structured data and unstructured data. The company's ML engineers a...
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Get Started FreeAn ML engineer needs to use data with Amazon SageMaker Canvas to train an ML model. The data is stored in Amazon S3 and is complex in structure. The ML engineer...
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Get Started FreeAn ML engineer is evaluating several ML models and must choose one model to use in production. The cost of false negative predictions by the models is much high...
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Get Started FreeA company has trained and deployed an ML model by using Amazon SageMaker. The company needs to implement a solution to record and monitor all the API call event...
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