Getting Started with Amazon Personalize

In this course, you will learn how to use Amazon Personalize to build a personalized product experience for your customers. You will learn the basic terminology, important benefits and features, typical use cases, and costs. You will review the solution architecture you can use to build your own recommendation engines and personalization solutions. Through a guided tutorial, you will also build a movie recommendation engine solution in your own Amazon Web Services (AWS) account that you can further adapt to your use case.This course is a part of the Getting Started series for Amazon Personalize (AWS console access required). Course Level: FundamentalDuration: 1 Hour 30 MinutesActivitiesThis course includes presentations, readings, and demonstrations.Course objectivesIn this course, you will learn to:Describe the benefits of using Amazon Personalize to build recommendation systems and personalization solutions for your customersDescribe the basic concepts, typical solution architectures, use cases, and costs associated with an Amazon Personalize solutionImplement a demo in the AWS Management Console that shows Amazon Personalize in actionPrerequisitesWe recommend that attendees of this course have:AWS Cloud Technical Essentials Course outlineSection 1What does Amazon Personalize do?What problem does Amazon Personalize solve?What are the benefits of Amazon Personalize?Section 2How can Amazon Personalize help you architect a cloud solution?Architecture diagramData layerTraining layerInference layerSection 3What are typical use cases for Amazon Personalize?Section 4What else should I keep in mind when using Amazon Personalize?Workflow optionsWorkflow for domain dataset groupsWorkflow for custom dataset groupsSection 5How much does Amazon Personalize cost?Use-case optimized recommendersUser segmentationCustom recommendation solutionsSection 6What are basic technical concepts I should know?Data import and managementTrainingModel deployment and recommendationsHow does Amazon Personalize import your data, train a model, and generate recommendations?Architecture diagramArchitecture explanationEstimated cost to run a demo (in user account)Steps for demoCreate Amazon Simple Storage Service (Amazon S3) bucket and load sample dataImport training dataClean up instructionsTrain a model and create recommender Get recommendations How can I learn more about Amazon Personalize? (links and resources)