Udemy – LangChain with TypeScript: Build AI Apps, RAG & Agents

In this course, you’ll learn how to use LangChain with TypeScript to build modern AI applications step by step. Instead of jumping directly into complex agents, you’ll build a strong foundation and gradually move toward more advanced AI application patterns. You’ll start by understanding the core concepts of LangChain and then progress through prompts, output parsers, embeddings, memory, vector stores, retrievers, and RAG. From there, you’ll learn how tools work, how agents use tools, and how LangGraph can be used to build more advanced agentic workflows.

What you’ll learn:

• Build AI applications using LangChain.js and TypeScript
• Understand LangChain’s core building blocks and how they fit together
• Work with prompts and prompt templates
• Parse and structure model outputs
• Understand embeddings and how they are used in AI applications
• Work with vector stores and similarity search
• Build retrieval-augmented generation (RAG) applications
• Understand retrievers and how they work with RAG
• Give AI applications access to external tools and functions
• Understand the difference between tools, agents, and workflows
• Build AI agents using LangChain
• Understand how LangGraph fits into modern AI application development
• Build practical AI applications instead of only learning isolated concepts