Build Your AI Agent using LangGraph Workflow | Python

Description

GitHub Code Link: https://github.com/siddiquiamir/LangChain-2025/blob/main/tut.py Build Your AI Agent using LangGraph Workflow | Python GitHub: https://github.com/siddiquiamir/llamaindex Welcome to this hands-on tutorial where we explore how to build your first AI Agent using LangGraph and LangChain! 🤖 In this video, you’ll learn: What LangGraph is and how it works with LangChain How AI agents use graphs to manage workflows and tool calls How to build and run your own LangGraph agent step by step How to connect your agent with real tools like APIs or functions We’ll start by visualizing the LangGraph architecture — then dive into the full Python implementation, line by line, so you understand exactly what’s happening behind the scenes. Whether you’re a beginner in AI or a developer exploring agent frameworks, this video will help you confidently use LangGraph to create more structured, reliable, and intelligent agents. 🧠 Resources: 🔗 LangGraph Documentation – https://python.langchain.com/docs/langgraph 🔗 LangChain Documentation – https://python.langchain.com #LangGraph #LangChain #AIagents #PythonAI #LangChainTutorial #LangGraphTutorial #LLM #ArtificialIntelligence #AIAgentDevelopment #LangChainForBeginners #GroqAI #MachineLearning #AITutorial