Course description: Amazon Kendra is a natural language search service that uses machine learning for improved accuracy in search results and the ability to search unstructured data. In this course, you will learn about the benefits, features, typical use cases, technical concepts, and costs of Amazon Kendra. You will review an architecture for a search solution using Amazon Kendra that you can further adapt to your use case. Through a guided tutorial consisting of a narrated video, step-by-step instructions, and transcript, you will also try the service in your own Amazon Web Services (AWS) account. • Course level: Fundamental • Duration: 1.5 hours Activities: This course includes presentations and a step-by-step tutorial to follow along. Course objectives: In this course, you will do the following: • Understand how Amazon Kendra works. • Familiarize yourself with basic concepts of Amazon Kendra. • Recognize the benefits of Amazon Kendra. • List typical use cases for Amazon Kendra. • Describe the typical architectures associated with an Amazon Kendra solution. • Specify what it would take to implement Amazon Kendra in a real-world scenario. • Understand the cost structure of Amazon Kendra. • Implement a demonstration of Amazon Kendra in the AWS Management Console. Prerequisites We recommend that attendees of this course have completed the following trainings: • AWS Technical Essentials Course outline • Introduction to Amazon Kendra • Architecture and Use Cases • How Do You Create an Index in Amazon Kendra? • How Do You Add a Data Source in Amazon Kendra? • How Do You Create an FAQ with Amazon Kendra? • How Do You Delete Amazon Kendra Resources?
