May 19
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🚀 Build Real-Time AI Agents with LangChain + LangGraph | Hands-On Lab 2026 Rajinikanth Vadla — MLOps / AIOps / AI Agents Live Training In this hands-on lab, we build production-grade AI agents from scratch using LangChain and LangGraph — the #1 agentic AI framework in 2026, trusted by Klarna, Replit, Elastic, and 90K+ GitHub stars. You'll learn stateful agent orchestration, tool calling, memory persistence, conditional routing, and multi-agent workflows — all LIVE with real code. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📌 WHAT YOU'LL LEARN IN THIS LAB ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✅ LangChain agents — LLM + Tools + Memory architecture ✅ LangGraph — stateful graph-based agent orchestration ✅ ReAct pattern (Reasoning + Acting) for intelligent decision-making ✅ Tool calling — Tavily Search, custom APIs, database queries ✅ Multi-agent workflows — researcher → writer → reviewer patterns ✅ Conditional edges and branching logic in LangGraph ✅ Human-in-the-loop (HITL) checkpoints ✅ Persistent memory — short-term and long-term with checkpointers ✅ State machines for durable agent execution ✅ Real-time streaming of agent reasoning and actions ✅ LangSmith observability — tracing, debugging, evaluating agents ✅ Production deployment patterns for enterprise agents ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎓 FULL AI AGENTS + MLOps + AIOps COURSE ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📅 Next Batch: May 2026 (2nd Week) ⏰ Timings: Mon–Fri, 8:00–9:45 PM IST 💰 Fee: ₹35,000 📦 4 Months | Real-World Projects | Lifetime Recordings 🎁 SPECIAL OFFER: Pay now → Get BOTH current running batch + upcoming May batch + Lifetime Recordings — all for one fee! 📱 Enroll / WhatsApp: https://topmate.io/rajinikanthvadla 🌐 Website: https://rajinikanthvadla.com ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⏱️ TIMESTAMPS (Update with actual times) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 00:00 Introduction — Why LangChain + LangGraph for AI Agents 03:00 LangChain Architecture — Agents vs Chains vs Pipelines 08:00 Setting Up the Environment — Python, LangChain, LangGraph 12:00 Your First LangChain Agent — ReAct Pattern 18:00 Tool Calling — Tavily Search + Custom Tools 25:00 LangGraph Deep Dive — Nodes, Edges, State 32:00 Building a Stateful Agent Graph 40:00 Conditional Routing — Dynamic Decision Making 48:00 Multi-Agent Workflow — Researcher + Writer + Reviewer 55:00 Memory & Checkpointing — Persistent Agent State 62:00 Human-in-the-Loop Patterns 68:00 LangSmith Tracing & Debugging 75:00 Production Deployment Best Practices 80:00 Wrap-Up & What's Next ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔗 RESOURCES & LINKS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📚 LangChain Docs: https://python.langchain.com 📚 LangGraph Docs: https://langchain-ai.github.io/langgraph/ 📚 LangSmith: https://smith.langchain.com 📚 LangChain Academy (Free): https://academy.langchain.com ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔍 RELATED VIDEOS IN THIS SERIES ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▶ AWS Bedrock AI Agents — Class 43 ▶ vLLM + Ray Serve + KubeRay on Kubernetes — Class 41 ▶ RAG Deep Dive for Enterprise ▶ LLM Fine-Tuning with QLoRA + MLflow ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 👤 About Rajinikanth Vadla: AI staff & Senior AI-Ops Engineer #LangChain #LangGraph #AIAgents #AgenticAI #MLOps #AIOps #LLMOps #AgentOps #ReActAgents #MultiAgentAI #LangSmith #AIAgentsTutorial #LangChainTutorial #LangGraphTutorial #BuildAIAgents #ProductionAIAgents #AIAgents2026 #RajinikanththVadla LangChain,LangGraph,AI Agents,LangChain tutorial 2026,LangGraph tutorial 2026,build AI agents,agentic AI,AI agents hands on,LangChain agents,LangGraph agents,ReAct agents,multi agent AI,LangSmith,AI agent framework 2026,stateful agents,tool calling LLM,human in the loop AI,agent orchestration,MLOps,AIOps,LLMOps,AgentOps,LangChain LangGraph lab,production AI agents,AI agents course,AI agents for beginners,autonomous AI agents,LangChain Python,Rajinikanth Vadla #LangChain #LangGraph #AIAgents #AgenticAI #BuildAIAgents #LangChainTutorial #LangGraphTutorial #ReActAgents #MultiAgentAI #AIAgents2026 #LangSmith #ToolCalling #MLOps #AIOps #LLMOps #AgentOps #AIAgentFramework #ProductionAI #StatefulAgents #HumanInTheLoop #AIAgentsCourse #LangChainPython #AIEngineering #RajinikanthVadla