VORCL
← All courses
Beginner · 7 lessons

AI process automation with n8n

A hands-on n8n course: from your first workflow and expressions to the AI Agent node, document RAG, reliable webhooks, and safe self-hosting — capped with an AI lead-qualification pipeline.

Start →
  1. 01Nodes, triggers, and your first workflowHow the n8n canvas works: node types, items as the data format, expressions with $json, and your first scheduled workflow.40 min
  2. 02Connecting LLMs: the AI Agent noden8n cluster nodes: AI Agent, chat models, memory, and tools; system message, $fromAI(), and structured output for predictable answers.45 min
  3. 03Webhooks and API integrationsThe Webhook node from test URL to production, Respond to Webhook, HTTP Request with pagination and retries, and verifying incoming event signatures.45 min
  4. 04RAG in a box: document Q&ATwo document Q&A pipelines: ingestion with chunking and embeddings into a vector store, and retrieval through the Vector Store Tool of an AI agent.50 min
  5. 05Errors, retries, and idempotencyRetry On Fail and node error branches, Error Trigger and alerts, deduplication and idempotency keys, safe re-runs.45 min
  6. 06Self-hosting, credentials, and securityn8n Cloud versus self-hosted: Docker and Postgres, N8N_ENCRYPTION_KEY, credential storage, HTTPS, queue mode, and execution pruning.40 min
  7. 07Capstone: an AI lead-qualification pipelineAn end-to-end project: webhook lead intake, enrichment, AI scoring with structured output, tier-based routing, reliability, and acceptance tests.60 min

Sources

AI process automation with n8n · VORCL