Agentic AI using LangGraph for Beginners #3 | Tool Calling in AI Agents

Learn how Tool Calling works in AI Agents using LangGraph in this beginner-friendly tutorial! In Part 3 of our Agentic AI using LangGraph series, we'll explore how AI agents use tools to perform actions beyond simply generating text. You'll understand how the "tool_calling_llm" node connects to the "tools" node, how conditional edges control the workflow, and how a LangGraph agent can decide whether to call a tool or finish execution. 📚 What You'll Learn What is tool calling in AI agents? How LLMs decide when to call tools Understanding the "tool_calling_llm" node Creating and connecting tools in LangGraph Understanding conditional edges and graph flow How the graph transitions to the "tools" node Understanding the complete tool-calling workflow 🎯 Who Is This Tutorial For? This tutorial is for beginners learning LangGraph, LangChain, and Agentic AI. No advanced AI knowledge is required. 🚀 About This Series This is Part 3 of our Agentic AI using LangGraph for Beginners series, where we build our understanding step by step with practical examples. If you want to learn AI agents from scratch, subscribe to Easy Learn AI for more beginner-friendly tutorials. 👍 Like the video if you find it helpful, and comment below if you have any questions! #LangGraph #AgenticAI #ToolCalling #AIAgents #LangChain #GenerativeAI #PythonTutorial