Building AI Chatbots with OpenAI and Custom Data

Building intelligent conversational agents that understand specific business data is one of the most valuable skills in modern software development. This introductory guide walks you through the essential concepts and steps needed to connect large language models with your own custom dataset. By following practical written lessons and code examples, you will understand how to construct context-aware AI assistants that answer questions based on specialized knowledge bases, such as product catalogs or customer support material. What you'll learn: • Understand foundational AI concepts, including prompt engineering, context windows, and embeddings • Connect language model APIs to your application using standard web requests • Implement custom data grounding techniques to provide accurate context to chatbots • Design conversational workflows for real-world scenarios like customer support • Apply basic Retrieval-Augmented Generation (RAG) patterns to query custom documents • Practice handling user inputs, API responses, and conversation state effectively The curriculum starts with core definitions and architectural basics before progressing into step-by-step written tutorials and code snippets where you will construct a functional assistant grounded in store product data. Designed specifically for beginners, this course requires basic programming familiarity but no prior artificial intelligence background. Start reading today to build your first data-driven AI application.