Building Applications with ChatGPT and Generative AI APIs

Generative AI is transforming how we build software, but integrating these powerful models into actual applications requires a solid understanding of API mechanics and structured prompt design. This text-based course guides you through the process of building intelligent, AI-powered applications from the ground up using clear written explanations and practical code examples. You will transition from a curious developer to a builder capable of connecting application frontends to generative AI backends, handling API state, and structuring prompts for reliable outputs. What you'll learn: Understand foundational generative AI concepts, API authentication, and model endpoints; Structure effective prompts programmatically to ensure consistent and structured JSON outputs; Implement basic Retrieval-Augmented Generation (RAG) patterns to connect LLMs with custom data sources; Build and manage conversational state for chat-based application interfaces; Apply modern security practices, rate limiting, and API error handling in your application backend; Manage dependencies and configure environment variables using modern development workflows. The course starts with essential terminology and API basics before guiding you through step-by-step implementation patterns for chat interfaces, data extraction, and content generation. You will work through structured written exercises and inspect real-world code snippets to solidify your understanding. Designed for beginner developers and tech-savvy creators who want to build AI-driven tools, prior experience with basic programming concepts is helpful but no advanced AI background is required. Start reading today and build your first generative AI application.