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In this video, I break down the core concepts you need to understand before building agentic workflows with LangGraph, including State, Nodes, Edges, and Graph execution. You’ll learn: ✔️ What a State is and how to define a state schema ✔️ How Nodes work and how they’re called during execution ✔️ How to pass and access state inside every node ✔️ What Edges are and how they determine execution flow ✔️ How to build simple and conditional graphs ✔️ How to think about agentic workflows using LangGraph We’ll build: 🔹 A simple graph with one node 🔹 A more advanced graph with three nodes and a conditional edge Whether you're new to LangGraph or trying to understand how agentic systems work, this tutorial will give you the foundation you need to start building powerful graph-based AI workflows. If this video helps you, don’t forget to like, comment, and subscribe for more content on LangGraph, LangChain, AI engineering, and workflow automation. Check the code on GitHub: https://github.com/CodeByFelix/AI-Age... Connect with me LinkedIn: / felix-ibeamaka X: https://x.com/Electronics__ Facebook: / felixibeamaka Instagram: / electroni6_247 TikTok: / uclf6neuxzbrycd8vjqoenya Join My WhatsApp Group: https://chat.whatsapp.com/C9mZeTCLiNQ...