This course contains the use of artificial intelligence. AI automation and Agentic AI are reshaping how teams build, run, and scale modern workflows. As intelligent agents, AI-powered workflow automation, and no-code tools become more accessible, the ability to design autonomous systems is becoming a core practical skill. This course, AI Automation and Agentic AI with n8n + ChatGPT + Generative AI, focuses on building real, working AI automation systems using n8n as the central orchestration platform. n8n allows you to connect APIs, large language models like ChatGPT, and business tools into structured, reliable workflows — often without writing traditional code.
Rather than focusing on theory alone, this course is built around hands-on demos that show how AI agents and automated workflows actually work in practice. You’ll learn how to design AI-powered automations, create agentic workflows, and coordinate multiple AI agents inside n8n. This training is especially relevant for anyone interested in n8n automation, no-code AI automation, or looking to start an AI automation agency using proven workflow patterns.
What You’ll Learn
Introduction to AI Automation and Agentic AI:
- Understand what artificial intelligence and AI automation are in practical terms.
- Learn how agentic AI differs from simple automation.
- See why n8n is well-suited for AI-powered workflow automation.
n8n Fundamentals:
- Set up n8n quickly and understand the core platform.
- Learn how the n8n canvas works and how workflows are structured.
- Understand triggers, nodes, and execution flow.
Automation with n8n:
- Build basic automations such as sending emails to your team.
- Automate product research using APIs.
- Automate product research using no-code workflows.
- Learn how to pass data cleanly between steps in a workflow.
Agentic AI Automation:
- Learn common AI agent patterns and architectures.
- Build a Product Design Agent that generates design concepts.
- Create a Project Planning Agent using a multi-step workflow.
- Understand how agents reason, plan, and act within workflows.
MCP (Model Context Protocol):
- Understand what MCP is and why it matters for AI agents.
- Learn how MCP improves structure, consistency, and reuse.
- Use MCP concepts in a Social Media Campaign Agent.
- Generate both text and images using an AI agent.
