← LearnAgent Engineering

LangGraph

A practical 5-module track to build production-ready agents: start from the graph runtime mental model, then layer state + persistence, branching + human-in-the-loop, multi-agent orchestration, and final interview prep.

5Modules
L1→L3Target
~10hHands-on
PythonStack
01Foundations

Graph Mental Model

Why graphs over loops, nodes/edges/state, reducers, compile/invoke, and basic chat loop.

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02State & memory

Persistence That Survives Restarts

Threads, checkpointers, reducers, short/long-term memory, and state design that scales.

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03Control flow

Branching + Human-in-the-Loop

Conditional routing, Send, Command, interrupts, approval gates, and safe resumes.

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04Production

Multi-Agent + Observability

Supervisor patterns, orchestration trade-offs, tracing, reliability and deployment shape.

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05Interview

Gauntlet + System Design

Rapid-fire questions, architecture drills, trap cards, and final confidence checks.

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