LangGraph Full Course | Complete Beginner to Advanced Tutorial on Building AI Workflows & Agents

Description

Welcome to the Complete LangGraph Series (All 10 Videos Combined) — your full step-by-step guide to mastering LangGraph, the revolutionary framework for building AI-powered workflows and autonomous agents. Over the span of 10 episodes, we move from the absolute basics to advanced, real-world implementations — connecting AI models, tools, conditionals, loops, memory, and retrieval systems to create truly intelligent agentic systems. Here’s what this full course covers 👇 🧩 Module Breakdown: 1️⃣ Introduction to LangGraph — What it is, how it differs from LangChain, and why it’s the future of AI orchestration. 2️⃣ Basic Graphs and States — Understanding nodes, edges, and how data flows through your AI system. 3️⃣ Conditional Routing — Making your graph think: flow decisions based on user input or internal state. 4️⃣ Multi-Step Workflows — Creating branching logic and sequential reasoning chains. 5️⃣ Loops and Iteration — Building interactive and self-improving agents with feedback cycles. 6️⃣ Connecting to Gemini 2.5 Flash — Bringing real AI models into your LangGraph workflows. 7️⃣ Tool Nodes Explained — Giving your AI real capabilities: calculations, actions, and decisions. 8️⃣ Building Drafter — A document-editing agent that writes, updates, and saves files autonomously. 9️⃣ RAG Agent with LangGraph — Enabling your AI to read, retrieve, and answer from real PDFs. 🔟 Putting It All Together — Combining reasoning, retrieval, and execution into one powerful system. By the end of this complete course, you’ll know how to design, visualize, and build intelligent AI systems that don’t just respond — they think, plan, and act. Whether you’re an AI researcher, developer, or hobbyist, this series gives you everything you need to start building real-world autonomous agents using LangGraph and Gemini.