Agentic AI using LangGraph

A playlist that builds in layers

This playlist starts with what agentic AI is and how it differs from generative AI and tool-augmented chatbots, then moves to building production-style systems with LangGraph. The series is listed in Hindi, so it suits learners who prefer that language for technical study.

Patterns and production concerns

Core ideas include state management, prompt chaining, orchestrator-worker patterns, conditional edges and tool calling. Later parts look at multi-agent setups, RAG and agentic RAG, memory and persistence, observability and deployment. Taken together they cover both how agents reason and how they are kept running in production.

Best for

• Learners who already know basic LLM concepts and want advanced agent design.
• Developers debugging multi-step agent workflows.
• Those comparing agent frameworks for production use.