Building Custom Skills for Azure AI Search

Standard search engines often struggle with highly specialized or unstructured business data. By extending Azure AI Search with custom skills, you can extract unique insights, process proprietary document formats, and enrich your search index with tailored intelligence. This text-based course guides you through the process of designing, coding, and integrating custom skills into an Azure AI Search enrichment pipeline. You will transition from basic search concepts to deploying robust, custom-defined enrichment steps that run seamlessly. What you'll learn: - Understand the core architecture of Azure AI Search enrichment pipelines and indexers - Design custom web APIs to process and transform search document payloads - Build and deploy custom skills using Azure Functions for scalable serverless processing - Integrate modern AI enrichment patterns, including basic vector search concepts and external API calls - Configure skillsets to map inputs and outputs correctly within your search index - Debug and test your custom skills locally using written code walkthroughs You will start with foundational search terminology and pipeline mechanics before moving on to step-by-step written guides for writing, hosting, and connecting your first custom skill. This course is designed for software developers, data engineers, and technical beginners eager to customize their search solutions, with no prior experience in Azure AI Search required. Start reading today to unlock the full potential of your unstructured data.