How do you build AI agents that can use tools, search databases, remember conversations, make decisions, and execute complex tasks?

That's where LangChain and LangGraph come in!

Welcome to one of the most important masterclasses of Phase 9: Agentic AI Systems in The Techzeen's AI Engineer 360 | Production-Grade AI Engineering course.

In this lesson, we'll understand both technologies from scratch, explore their architecture, and discover how they work together to build intelligent, stateful AI applications.

WHAT YOU'LL LEARN:
LangChain: Models, Prompts, Chains, Tools, Retrievers, Structured Outputs & Output Parsers.
LangGraph: State, Nodes, Edges, Conditional Routing, Cycles & Autonomous Loops.
Memory & Persistence: How AI agents maintain context and resume execution.
Human-in-the-Loop: How to pause an agent for human review and approval.
LangChain vs LangGraph: Key differences and when to use each.
Real-World Architecture: Understanding an AI Customer Support Agent.

COMING NEXT: We'll combine LangChain + LangGraph + FastAPI to build a real AI application in our next practical session!

Subscribe to The Techzeen to Become a Production Ready AI Engineer.

CONNECT & LEARN WITH US
Visit Our Website:
https://www.thetechzeen.com/

Full Playlist (AI ENGINEER 360°):
https://www.youtube.com/playlist?list=PL5OhSdfH4uDtyUmg0r-F5UeQ9sineyE9t

Get Lecture Notes (GitHub):
https://github.com/farzeen-ali/AI-Engineer-360

Join Techzeen AI WhatsApp Community:
https://whatsapp.com/channel/0029VbD3dLD5vKA2UgUCpX19

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