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In this course, you'll explore Amazon Kendra, discovering its features and benefits. You'll uncover how Amazon Kendra enhances search capabilities and boosts productivity. Through real-world examples, you'll see how Amazon Kendra can be applied across different industries. Plus, you'll learn how to use Amazon Kendra on the AWS Management Console, gaining hands-on experience in setting up and managing your search solution. By the end of the course, you'll be ready to leverage Amazon Kendra for your search needs on AWS effectively.
Amazon Kendra is a smart search engine that uses cutting-edge machine learning techniques and the natural language processing to deliver accurate results to search queries. It enables users to retrieve specific information from their data easily.
Using Amazon Kendra offers several benefits. It continually improves search results through machine learning, ensuring accurate and relevant responses. Additionally, it provides a highly secure search experience, aligning with your organization's security policies and allowing granular control over document access.
This free course on Amazon Kendra is suitable for individuals seeking to enhance their understanding of intelligent search technologies and leverage Amazon Kendra's capabilities to optimize search experiences within their organizations.
Yes, Amazon Kendra supports 34 languages for keyword-based searches over documents and FAQs. This extensive language support ensures that users from diverse linguistic backgrounds can effectively utilize Amazon Kendra's search capabilities.
Amazon Kendra is designed to handle various document types and formats, including PDFs, HTML, Word documents, PowerPoint presentations, and more. This flexibility allows organizations to index and search through various content sources.
Setting up Amazon Kendra involves creating an index within the service, uploading data to an Amazon S3 bucket, adding the data source to your index, and syncing the data. Additionally, you'll need to create and assign access policies to users.