Building Your First LangGraph Agent: Nodes, State, and Workflows | Agentic AI Course

Description

Welcome to the frontier of AI! In this lecture, we move beyond basic LLM calls and dive into LangGraph—the industry standard for building stateful, multi-agent systems. If you want to build AI that doesn't just "chat" but actually "thinks" and "acts" in complex loops, this is the session for you. We break down the graph-based approach to AI orchestration. 🚀 What we covered in this session: LangGraph Fundamentals: Understanding the shift from LangChain to LangGraph. Nodes & Edges: Creating the building blocks of your agent's "brain." State Management: How to maintain memory and context across complex workflows. StateGraph Builder: Step-by-step workflow creation and compilation. Your First Agent: Deploying a functional agent that can navigate nodes and make decisions. 🔗 Let's Connect Follow my journey and get the latest code updates here: 💼 LinkedIn: linkedin.com/in/danishmustafa 💻 GitHub: github.com/danishmustafa 🌐 Portfolio: danishmustafa.vercel.app 💡 LeetCode: leetcode.com/u/danishmustafa/ If you're ready to build the next generation of AI agents, hit that Like button and Subscribe! #LangGraph #AgenticAI #LangChain #AI #Python #MachineLearning #DanishMustafa #LLM #Automation #GenAI #WorkflowAutomation