Overview
Curriculum
Building with LangChain is for anyone interested in creating smarter, more responsive AI experiences. We’ll use tools like LCEL, Runnables, memory, RAG, prompt templates, and agents. With LangGraph, we’ll build workflows and add callbacks to track how things run. Through real examples like document handling and decision-making, we’ll learn how to build context-aware applications with confidence.
What You'll Learn
- Understand workflows for LLM-powered applications using LangChain’s orchestration framework
- Build and combine components like prompt templates, output parsers, memory, and retrieval to create dynamic chains
- Implement agentic behavior and decision-making using LangChain agents and LangGraph
- Use LCEL and callbacks to design, debug, and optimize modular and stateful LLM applications
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