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syllabus of AI Agents Creation

< 1 min read

Day 1 – Foundations of AI Agents in n8n #

  • Introduction to n8n: interface, nodes, and triggers
  • Understanding AI agents: role, scope, and use cases
  • Setting up basic workflows with Telegram/Email triggers
  • Connecting external services (Google Drive, Docs, OneDrive)
  • Hands‑on exercise: Build a simple Q&A agent

Day 2 – Building Intelligent Workflows #

  • Advanced nodes: HTTP requests, webhooks, and integrations
  • Using AI models inside n8n (prompt design, response handling)
  • Automating content tasks: drafts, replies, and notifications
  • Creating workflows for real estate, social media, and business use cases
  • Hands‑on exercise: AI agent that fetches and answers from stored documents

Day 3 – Deploying & Scaling AI Agents #

Wrap‑up: Provide students with full code, ready‑made workflows, and complete PDF course material

Error handling, fallback responses, and workflow optimization

Multi‑channel automation: Telegram, Email, and Social Media

Packaging workflows for reuse and scalability

Best practices for security, efficiency, and client delivery

Final project: Build a complete AI agent workflow from scratch

Updated on May 24, 2026

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Table of Contents
  • Day 1 – Foundations of AI Agents in n8n
  • Day 2 – Building Intelligent Workflows
  • Day 3 – Deploying & Scaling AI Agents

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