Turn n8n from a simple automation tool into the orchestration layer of AI systems that decide autonomously. Combine LLM APIs, RAG, LangChain, LangGraph, MCP and production architectures with real workflows.
Start the application process to learn n8n, RAG, LangGraph and multi-agent architectures hands-on.
The training moves from LLM system architecture to n8n orchestration, from LangGraph-based state management to MCP tool servers and the production environment.
Lay the technical foundation of agent systems.
Manage autonomous workflows.
Build architectures that manage state and share tasks.
Set up standard access to tools for agents.
Move from the demo level to production.
Get direct information about the class schedule, attendance format, expected level and program scope.
Turn the concepts you learn into technical, practical skills you can use in real scenarios.
Connect multi-step tasks with data, API and LLM services.
Connect corporate documents to agents with a vector search approach.
Create state management and fault-tolerant flows with LangGraph.
Distribute planning, execution and verification tasks among different agents.
Design logging, security, retry and deployment processes.
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Get information about the current group dates and application requirements of the 18-hour Agentic AI with n8n program.