Building Question Answering Solutions with Azure AI Language

In today's digital landscape, users expect instant, accurate answers to their queries. Building an intelligent knowledge base that understands natural language is essential for modern customer support and internal information systems. This text-based course guides you through the process of creating, tuning, and deploying custom question-answering solutions using Azure AI Language. You will start with the fundamental concepts of natural language processing and knowledge bases, then progress to building a fully functional solution that can handle complex queries, multi-turn conversations, and integrate with modern conversational workflows. What you'll learn: Understand foundational natural language processing concepts and Azure AI Language terminology; Create and manage custom question-answering knowledge bases from existing FAQs and documents; Configure multi-turn conversations and follow-up prompts to guide users to the right answers; Apply active learning to continuously improve the accuracy of your question-answering models; Integrate your solution with external applications using SDKs and REST APIs; Explore modern retrieval-augmented generation (RAG) patterns and integration with large language models. You will start with core definitions and structural setups before moving on to practical text-based exercises on source ingestion, testing, and deployment. The course also covers advanced topics like active learning and connecting your knowledge base to client applications. Designed for beginners, software developers, and cloud enthusiasts looking to add natural language capabilities to their applications, this course requires no prior experience with cloud AI services. Start reading today to build your first intelligent conversational knowledge base.