AWS Kendra Foundations: Implementing Intelligent Search

Finding the right information across fragmented enterprise data sources can be a massive challenge for any organization. AWS Kendra solves this by using machine learning to deliver highly relevant search results from unstructured data. In this text-only course, you will discover how to plan, build, and optimize intelligent search applications that understand natural language queries. What you'll learn: - Understand the core principles of semantic search and machine learning-driven indexing - Configure search indexes and connect native data sources securely - Optimize search relevance using tuning, field mappings, and user access controls - Explore modern integration patterns, including retrieval-augmented generation (RAG) for AI applications - Deploy search interfaces that index web content and document repositories This course begins with essential search terminology and foundational concepts before guiding you through step-by-step setup and query optimization techniques. It is designed specifically for beginners, and no prior experience with machine learning or cloud architecture is required. Start reading today to build smarter search experiences for your organization.