Building Agentic AI Systems with LangGraph | AI Dev Day Chennai | Part-1

In this Live session recorded after the AI Dev Day, organized by the Chennai Robotics and AI Builders Community, I walk through how to build Agentic AI Systems using LangGraph. We start from the fundamentals and gradually move towards production-oriented agent architectures that can reason, use tools, maintain memory, and collaborate across multiple workflows. Topics Covered: ✅ Pydantic Structured Outputs ✅ LangGraph Fundamentals ✅ State Management ✅ Manual Routing Workflows ✅ LLM-Based Routing ✅ Multi-Agent Systems ✅ Tool Calling Agents ✅ Tavily Search Integration ✅ Memory & Persistence ✅ Human-in-the-Loop Approvals ✅ Streaming Responses ✅ Gradio UI Integration I also share some of the experiments we conducted with Claude Fable 5, including: • Software Engineering Agent • Content Creation Agent • Founder Mode Simulations • Multi-Agent Workflows • Human Approval Systems Code Repository: https://github.com/SKSudharsanan/Agen... Connect with Me: YouTube:    / @sksudharsanan   Instagram:   / sudharsanan_kirubanandhan   Facebook:   / reels   About Me: Sudharsanan Kirubanandhan AI Engineer | Rust Developer | Blockchain Engineer Co-Founder, Asgorithm Technologies If you found this useful, please Like, Share, and Subscribe for more content on AI Agents, LangGraph, LLM Engineering, Agentic AI, and Software Engineering. #AgenticAI #LangGraph #AIAgents #LLM #GenerativeAI #ArtificialIntelligence #Python #OpenAI #Claude #MultiAgentSystems #SoftwareEngineering #AIEngineering #ChennaiTech #AsgorithmTechnologies