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.

Retrieval Augmented Generation (RAG) for Automation

Learn what RAG is in the context of automation workflows.
Build a Customer Experience Chat Agent.
Automate customer support by combining retrieval and generation.

AI Agent Orchestration

Understand the full AI agent orchestration workflow.
Learn how multiple agents work together in a coordinated system.
See how AI agents can support different teams through automation.

Who This Course Is For

Professionals interested in AI automation and AI-powered workflows
Builders using n8n automation and no-code tools
Entrepreneurs looking to start an AI automation agency
Teams exploring agentic AI for internal workflows
Anyone wanting to build real AI agents with ChatGPT and n8n

Key Learning Outcomes

Understand AI automation and agentic AI from first principles
Build practical n8n automation workflows
Create AI agents that perform real tasks
Design multi-step and multi-agent workflows
Orchestrate AI agents using n8n as a central system

Tools and Technologies Covered

n8n workflow automation
AI agents and agentic AI concepts
ChatGPT and generative AI
APIs, webhooks, and no-code automation

Final Outcome

By the end of this course, you’ll be able to design and build AI-powered workflow automation systems using n8n. You’ll understand how agentic AI works, how to create AI agents with ChatGPT, and how to orchestrate them into reliable, real-world automation workflows.