Building LLM Apps with TypeScript and LangChain.js

The demand for intelligent, AI-driven applications is growing rapidly, and TypeScript developers are perfectly positioned to build them. This course takes you from understanding basic artificial intelligence concepts to writing functional code that integrates Large Language Models (LLMs) directly into your web projects. You will explore how to structure AI interactions, manage context, and generate dynamic responses using modern industry standards. What you'll learn: Understand fundamental LLM terminology, capabilities, and limitations. Configure TypeScript environments for modern AI development. Build text-generation features using LangChain.js and modern AI SDKs. Implement basic Retrieval-Augmented Generation (RAG) patterns to ground AI responses in custom data. Apply prompt engineering best practices to get reliable, structured outputs. Manage conversation memory and context in chat-based applications. The course begins with foundational definitions and core concepts before moving into practical, written coding exercises. You will read through step-by-step text tutorials and code snippets that gradually build your understanding of AI integration architectures. Designed for beginner developers or JavaScript programmers looking to transition into AI development without prior machine learning experience. Start reading today to add powerful language model capabilities to your TypeScript toolkit.