Building Knowledge-Based Bots with Azure Question Answering

Organizations today need fast, automated ways to answer user queries without building complex search engines from scratch. This text-only course guides you through creating intelligent conversational bots using Azure's low-code Question Answering service (formerly QnA Maker). You will learn how to ingest unstructured documents, refine bot responses, and deploy a functional natural language helper. Through structured written explanations and step-by-step configuration guides, you will transform static documents into interactive knowledge bases. What you'll learn: - Understand the foundational concepts of Natural Language Processing and Azure Cognitive Services. - Create structured knowledge bases from existing FAQ web pages, manuals, and editorial guidelines. - Configure multi-turn conversations to guide users through complex, multi-step queries. - Apply active learning techniques to continuously improve bot accuracy based on real-world inputs. - Deploy your question-answering service to cloud endpoints for integration with web applications. The course begins with essential terminology and the basics of cloud-based NLP before moving on to hands-on knowledge base creation, metadata tagging, and testing strategies. This course is designed for beginners, support managers, and aspiring cloud developers who want to leverage cloud AI without deep programming knowledge. No prior coding experience or machine learning background is required. Start reading today to build your first intelligent chat assistant.