lt;pgt;Explore Amazon SageMaker Studio helps data scientists prepare, build, train, deploy, and monitor machine learning (ML) models.lt;/pgt;lt;pgt; lt;/pgt;lt;pgt;Amazon SageMaker Studio helps data scientists prepare, build, train, deploy, [...]
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lt;pgt;Explore Amazon SageMaker Studio helps data scientists prepare, build, train, deploy, and monitor machine learning (ML) models.lt;/pgt;lt;pgt; lt;/pgt;lt;pgt;Amazon SageMaker Studio helps data scientists prepare, build, train, deploy, and monitor machine learning (ML) models quickly. It does this by bringing together a broad set of capabilities purpose-built for ML. This course prepares experienced data scientists to use the tools that are a part of SageMaker Studio, including Amazon CodeWhisperer and Amazon CodeGuru Security scan extensions, to improve productivity at every step of the ML lifecycle.lt;/pgt;lt;pgt; lt;/pgt;lt;ulgt;lt;ligt;Course level: Advancedlt;/ligt;lt;ligt;Duration: 3 dayslt;/ligt;lt;ligt;Activitieslt;/ligt;lt;/ulgt;lt;pgt; lt;/pgt;lt;pgt;This course includes presentations, hands-on labs, demonstrations, discussions, and a capstone project.lt;/pgt;lt;pgt; lt;/pgt;lt;pgt;lt;stronggt;WHO SHOULD ATTEND?lt;/stronggt;lt;/pgt;lt;pgt;Experienced data scientists who are proficient in ML and deep learning fundamentalslt;/pgt;

I am interested in selected QA course