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Design and build a serverless FHIR API and storage solution on AWS through an AI-guided customer scenario and live console lab.
Design and build a cloud data warehouse on AWS through an AI customer simulation and guided console lab.
Design and build a healthcare data insights solution with Amazon HealthLake through an AI-guided AWS simulation and live lab.
Practice designing and building a customer-service chatbot solution with AWS through an AI-powered simulation and guided lab.
Practice translating a customer’s compliance requirements into an AWS solution through AI dialogue, then build and validate it in a live AWS Console.
Practice translating a customer’s business problem into an AWS solution through an AI-powered conversation simulation and a guided build in the live AWS Console.
Practice fine-tuning a large language model on Amazon SageMaker through an AI-guided AWS solution design and live console lab.
Practice translating a customer scenario into an AWS solution, then build and validate it in a guided live AWS Console lab.
Practice designing and building a data mesh solution on AWS through AI-guided customer conversations and a live-console lab.
Practice designing and deploying an AWS egress traffic filtering solution through generative-AI customer simulations and a guided live AWS Console lab.
Practice translating a customer conversation into an AWS application-protection design, then build and validate it in a live console through an AI-powered simulation.
Design and build an AWS solution for flagging suspicious healthcare claims through an AI-powered simulation and guided lab.
Design and build a decoupled application on AWS through an AI-driven customer scenario and guided live-console lab.
Design and implement over-the-air updates for edge devices through an AWS customer scenario and guided lab using AWS IoT Greengrass.
Design an AWS solution for a connected vehicle’s digital shadow, then build and validate it with AWS IoT, Lambda, and API Gateway in a guided lab.
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