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🧠 Description In this video, you’ll learn how to build your first LangGraph workflow step-by-step! 🚀 We’ll go beyond theory and actually implement a simple yet powerful LangGraph, connecting nodes, edges, and states to create an Agentic workflow. You’ll see how LangGraph brings structure, control, and modularity to AI pipelines — and how it seamlessly works with LangChain and Groq/OpenAI models. 💡 What You’ll Learn ✅ What is a LangGraph Workflow ✅ How to create nodes & connect them ✅ Defining graph states and transitions ✅ How to run and visualize a LangGraph ✅ Using ChatGroq / OpenAI as your LLM backend ⚙️ Topics Covered LangGraph Basic Components Node Creation (@tool, @entrypoint) Defining Edges Managing State Executing the Graph Debugging & Visualizing Workflow 🧰 Tools & Libraries LangGraph LangChain Core Groq API / OpenAI API Python (Jupyter Notebook) 📌 GitHub Repository (Code + Notes): 👉 https://github.com/dearnidhi/Agentic-AI-HandsOn-Bootcamp 📩 Connect with Me: ✉️ Email: nidhiyachouhan12@gmail.com 📸 Instagram: @dear_nidhi | @codenidhi 💼 LinkedIn: https://www.linkedin.com/in/nidhi-chouhan-544650b4/ ✨ Don’t forget to LIKE 👍, SHARE 📢 & SUBSCRIBE 🔔 for more LangGraph + LangChain tutorials! LangGraph, Build LangGraph Workflow, LangGraph Tutorial, LangChain LangGraph Example, LangGraph Beginner Guide, Simple LangGraph Example, LangChain Workflow, LangGraph Python, LangGraph for Agents, LangGraph LangChain Integration, Groq LangGraph Example, OpenAI LangGraph Workflow, LangGraph Nodes and State, Agentic AI Bootcamp, CodeNidhi LangGraph, Nidhi Chouhan AI, LangGraph for Beginners #LangGraph #LangChain #AgenticAI #AIWorkflow #LangGraphTutorial #LLM #GroqAPI #OpenAI #MachineLearning #CodeNidhi #NidhiChouhan #GenAI #ArtificialIntelligence #AIEngineer #LangGraphWorkflow