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LangChain & LangGraph

Master the most widely-used AI orchestration frameworks. Build production chains, agents, RAG pipelines, and complex stateful workflows with LangGraph.

16 hours10 modules2 projects
$22/mo
$49/mo

or $230 lifetime $799

  • Access to all 12 courses
  • All future updates
  • Certificate of completion
  • 30-day money-back guarantee

About This Course

LangChain and LangGraph are the backbone of the majority of production AI applications. This course goes deep — not just the happy path but the debugging, optimization, and advanced patterns that senior AI engineers use. You'll build production-grade pipelines, complex multi-step agents with LangGraph state machines, and learn the framework internals well enough to debug anything.

What You'll Learn

  • Build complex LangChain chains and pipelines with LCEL
  • Debug LangChain applications with LangSmith tracing
  • Design LangGraph state machines for complex agent workflows
  • Implement production RAG pipelines using LangChain components
  • Build multi-agent systems with LangGraph supervisor patterns
  • Optimize LangChain performance with caching and async
  • Test and evaluate LangChain applications systematically
  • Migrate existing AI code to LangChain patterns

Who Is This For?

AI Engineers

Using LangChain in production and want to master it instead of fighting it

Team Leads

Setting up AI infrastructure and choosing the right frameworks for their team

Advanced Learners

Completed agent and RAG courses and want the framework expertise to build faster

Prerequisites

  • Building AI-Powered Applications with APIs
  • RAG: Build Knowledge-Powered AI
  • AI Agents: Building Autonomous Systems

Tools & Technologies

PythonLangChainLangGraphLangSmithOpenAIAnthropic