Amazon Personalize enables developers to build applications with the same machine learning (ML) technology used by Amazon.com for real-time personalized recommendations – no ML expertise required.
Amazon Personalize provisions the necessary infrastructure and manages the entire ML pipeline, including processing the data, identifying features, using the best algorithms, and training, optimizing, and hosting the models. You will receive results via an Application Programming Interface (API) and only pay for what you use, with no minimum fees or upfront commitments. All data is encrypted to be private and secure, and is only used to create recommendations for your users.
In this Immersion Day we will learn how to create an Amazon Personalize deployment by approaching our focus in four main layers:
In each of these layers we will be covering the approach that you should take to get you Amazon Personalize deployment ready to be consumed by your application.