Build production-grade agentic AI systems with LangChain and LangGraph. This hands-on course takes you from prompt chains returning validated Pydantic objects, through tool-calling agents and LangGraph state machines, to supervisor-routed multi-agent systems, agentic RAG, and a complete evaluation harness with regression gates. Most LLM tutorials stop at "it produced a plausible answer." This course goes further — into deterministic orchestration, human approval gates, retrieval strategy, and the evaluation discipline that separates a demo from a system you can ship. Every lab is grounded in real network operations scenarios — alarm triage, KPI correlation, incident search — not toy problems. And every module covers when a pattern is the wrong choice, not just how it works. Taught by a practitioner who has deployed agentic AI on mission-critical infrastructure serving 1.5M+ users across 50+ countries.