Full-Stack AI Chatbot Development with React, NestJS, and LangGraph

Integrating artificial intelligence into web applications is a highly sought-after skill for modern developers. This course provides a clear, step-by-step path to designing and building a stateful, production-ready AI chatbot from the ground up. By reading through structured explanations and analyzing practical code implementations, you will gain the skills to connect a responsive user interface with a powerful, agentic AI backend. What you'll learn: - Understand the foundational concepts of LLM orchestration, prompt engineering, and stateful conversational flows. - Build a responsive chat interface using modern React conventions and component structures. - Develop a secure, scalable backend API with NestJS to manage user sessions and stream AI responses. - Implement complex, multi-turn agent workflows using LangGraph to handle sophisticated user intents. - Configure PostgreSQL to store chat history and manage vector embeddings for semantic search. - Apply Retrieval-Augmented Generation (RAG) patterns to ground chatbot responses in custom data. The course begins with essential definitions and architectural design principles before guiding you through frontend development, backend setup, and advanced AI agent orchestration. You will practice through written code walkthroughs and conceptual exercises designed to reinforce your full-stack development skills. This course is designed for web developers and programming enthusiasts who want to transition into AI application development. A basic understanding of JavaScript or TypeScript is helpful, but no prior experience with AI frameworks is required. Start reading today to unlock the potential of full-stack AI development.