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AWS Skill Builder is an Amazon-hosted platform for developers to create, manage and deploy Alexa skills. It provides a range of resources and tools to help you build your skills quickly and easily.
Use an AI customer simulation to design and build a serverless AWS workflow in a live console while practicing communication and problem-solving.
Design and build an AWS database solution for medical appointments through an AI customer simulation and guided live-console lab.
Build an AWS solution for processing multilingual medical text using Comprehend Medical, Translate, Lambda, Athena, and QuickSight.
Design and build an AWS serverless solution through an AI-guided customer scenario and hands-on lab in the live AWS Console.
Practice designing and building an AI medical-diagnosis solution with AWS services through an interactive customer simulation and guided lab.
Practice designing and deploying an AWS solution that fine-tunes a base model with reinforcement learning from human feedback (RLHF).
Use AI-guided customer dialogue and a live AWS Console lab to design and validate a beds-and-occupancy dashboard and forecast.
Design and build an automated AWS deployment pipeline for IoT devices through an AI-guided customer scenario and live console lab.
Practice designing and building a real-time data processing solution through an AI customer simulation and guided implementation in the live AWS Console.
Practice designing and building an AWS security solution through AI customer simulations and a guided lab using IAM, EC2, and RDS.
Practice designing and securing an Amazon S3 solution through an AI customer conversation and a guided build in the live AWS Console.
Practice designing and implementing a secure AWS server solution through an AI customer conversation and a guided live-console lab.
Diseña y construye una solución de extracción por lotes diaria en AWS mediante una conversación simulada y un laboratorio guiado.
Practice designing inter-region peering solutions through an AI customer simulation and building them in a live AWS Console lab.
Practice designing and provisioning Amazon SageMaker securely through an AI-guided customer scenario and live AWS Console lab.
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