This comprehensive 5-hour course introduces LangChain v0.3 and the modern LangChain ecosystem, including LangGraph, LangSmith, and LangServe. It is designed for AI engineers and developers who want to build advanced LLM-powered applications such as AI agents, RAG systems, and intelligent workflows.

The course begins with understanding when to use LangChain and how it fits into real-world AI development. You will then learn the basics of setting up LangChain, working with LLMs, and building prompt-based pipelines using best practices.

As the course progresses, it explores advanced concepts such as prompt templating, conversational memory, structured outputs, and agent creation. You will also gain deep knowledge of LangChain agents, including custom execution loops and agent design patterns.

A major focus is LangChain Expression Language (LCEL), the modern way to build chains and systems efficiently. The course also covers streaming and async processing, enabling real-time AI responses.

In the final capstone project, you build a fully functional AI agent application that integrates tools, memory, streaming, and APIs. By the end, you will understand how to design scalable AI systems using LangChain and related tools, preparing you for real-world AI engineering roles.