LangGraph Fundamentals Explained with Nodes, State, Edges and Agentic AI Workflows

Overview

Learn LangGraph Fundamentals & Agentic AI Workflows from Scratch...

In this complete tutorial, we dive deep into building stateful, graph-based AI agent workflows using LangGraph where:
• You master core concepts like State, Nodes, Edges, Conditional Routing, and Tool Nodes.
• Workflows move from basic execution patterns to real-world multi-step reasoning applications.
• We design and execute a functional simulated Support Bot powered by stateful agent architecture.

What You'll Learn

• Core Building Blocks of LangGraph Framework

• State Management & StateGraph Architecture

• Defining Nodes, Edges, and Start/End Flow Rules

• Implementing Conditional Edges & Routing Logic

• Tool Node Integration for Agentic Capabilities

• Designing Real-World Support Bot Workflows

Modules Covered

1. LangGraph Fundamentals & Core Elements

2. Simple Graph Workflow Construction

3. State vs Runnable Architecture

4. Simulated Support Bot Implementation

Tech Stack

Python, LangGraph, LangChain, Agentic AI, LLMs

Perfect For

• GenAI Developers

• AI/ML Engineers

• Software Developers

• Engineers Building AI Agents & RAG Systems