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Automation with n8n: Zero to Hero! (Udemy.com)

Master n8n: Zero to Hero! Build automation, AI, RAG, & multi-agent systems. Hands-on labs, basic to advanced. Enroll!

Created by: Mumshad Mannambeth

Last updated September 2026

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What you will learn

  • Master n8n fundamentals, from nodes and data flow to integrating APIs like OpenAI and vector databases (Pinecone).
  • Build a portfolio of AI-driven projects, including automated email agents, Slack bots, and multimedia (image/video) generators.
  • Design and deploy advanced Retrieval-Augmented Generation (RAG) agents to create intelligent, context-aware customer support bots.
  • Scale automations by building multi-workflow systems, creating reusable components (MCPs), and learning to self-host n8n with Docker and AWS.

How it compares

Against the other 1,182 rated Udemy courses in IT & Software on CourseDuck:

  • Rating4.5 out of 5higher than 45% of them
  • Reviews43#1,136 of 1,183 by number of reviews
  • Length4.4 hoursshorter than 57% of them
  • Last updatedSeptember 2026more recently than 92% of them

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Course Description

Automation is redefining how organizations build and scale workflows, and n8n is one of the most powerful tools leading this transformation. As an open-source, extensible automation platform, n8n enables you to integrate APIs, automate processes, and orchestrate intelligent agents with ease. From simple email automations to advanced Retrieval-Augmented Generation (RAG) agents and multi-workflow systems, this course will take you from beginner to expert.

Why You Should Learn n8n Today

The demand for workflow automation and AI-driven agents is rapidly increasing. Companies are adopting tools like n8n to reduce manual effort, connect services seamlessly, and scale intelligent systems. Whether you want to automate everyday business tasks, integrate APIs, or design multi-agent frameworks, learning n8n gives you a future-proof skillset. With n8n’s open-source flexibility and enterprise adoption, mastering it opens doors to opportunities in DevOps, AI, data engineering, and beyond.

Course Modules

1. Introduction

This section introduces n8n, its course structure, and the learning objectives. Learners will sign up for n8n and explore the playground environment to practice building workflows. It establishes a strong foundation for all subsequent hands-on learning.

2. n8n Foundational

Learn the basics of nodes, their inputs and outputs, data types, and n8n’s architecture and default run logic. You’ll also configure API keys for AI services like OpenAI and KodeKloud Keyspaces. This section ensures learners understand how workflows operate and how to integrate external services.

3. n8n Agent Workflow Build-Along

Set up your environment for a build-along experience, including folder structures, admin settings, and updates. Learners will create multiple AI-driven workflows, from simple email agents to multi-agent research workflows, text-to-image/video generation, and Slack automation. Guided labs provide hands-on practice for each workflow to reinforce real-world skills.

4. n8n Optional Set Ups

Explore self-hosting versus cloud hosting options for n8n, including Docker setups and AWS-hosted VMs. Learn to run AI agents using self-hosted LLMs like Ollama. This section allows learners to customize their n8n environment for scalable and flexible automation.

5. n8n RAG Agent

Understand Retrieval-Augmented Generation (RAG) agents and the role of vector databases in AI workflows. Learners will set up Pinecone and integrate it with n8n. Build a Customer Support RAG agent to combine AI reasoning with structured data for intelligent automation.

6. MCP

Learn about Modular Component Patterns (MCPs) for creating reusable workflow components. Complete a lab to connect MCP nodes and compare MCPs with standard workflows. This section demonstrates how modular design can enhance workflow efficiency and scalability.

7. n8n Multi-Workflow Advanced Build

Combine multiple AI agents into a single advanced workflow to automate complex tasks like marketing operations. Learners will practice calling subworkflows and managing multiple environments simultaneously. This section highlights enterprise-level workflow design and coordination.

8. n8n Additional Info + Developing Features

Explore retries, error handling, and best practices to build robust workflows. Learn to leverage the n8n Workflow Template Marketplace for faster development. The course concludes with a recap of key concepts and practical next steps for applying n8n skills professionally.

Practical Projects

  • Build an Email AI Agent to automate communications

  • Design a Research Workflow with Perplexity & OpenAI

  • Create a Customer Support RAG Agent using vector databases

  • Develop Slack and multimedia AI agents (text-to-image, text-to-video, image-to-video)

  • Replace manual processes with a team of agents through multi-workflow builds

Hands-On Labs & Demos

This isn’t just theory—every module includes interactive labs and guided demos where you’ll:

  • Work inside a dedicated n8n playground

  • Build workflows step-by-step with preloaded templates

  • Experiment with API integrations and real-world scenarios

  • Deploy and validate automations in cloud and self-hosted environments

Who Should Take This Course?

This course is ideal for:

  • Developers & Software Engineers looking to master automation tools

  • DevOps Engineers & Architects designing scalable workflows

  • AI/ML Enthusiasts integrating intelligent agents into pipelines

  • Data Engineers & Analysts automating repetitive processes

  • Anyone interested in **open-source automation and AI-driven workflows

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Ready to Automate the Future?

With expert guidance, hands-on labs, and real-world projects, this course will take you from foundational skills to building advanced, production-grade workflows. Whether you’re upskilling, reskilling, or starting fresh, this n8n: Zero to Hero journey will give you the confidence to design, develop, and deploy intelligent automations that matter.


Enroll now and become an n8n automation expert!

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Instructor Details

Mumshad Mannambeth

Mumshad is an IT Solutions Architect and specializes in Cloud Native Computing, Automation and DevOps. He is the founder of KodeKloud - a hands-on learning platform and a Certified Kubernetes Training Partner. He is passionate about learning new technology and teaching. He believes the best way to learn is to learn by doing and in a fun way.  Mumshad has authored multiple courses on DevOps, Cloud and Automation technologies. His courses focus on providing students with an interactive and hands-on experience in learning new technology that makes learning really interesting.

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Reviews

4.5

43 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Loh Bee Heng on 5/9/2026

Very good for beginners. Many parameters such as data format types, “Expression”, “Schema”, and others are clearly defined. However, beyond the on-screen explanations and references, the learning experience could be further improved by adding a digital pointer or visual highlight to indicate exactly where each parameter is located while it is being explained. This would make it much easier for users to follow along and understand the interface more effectively.

By Srini sunkara on 5/3/2026

until now teaching structure is very clear

By Howard Van Der Wal on 4/2/2026

Good course overall - if you sign up to the free services that are shown in each video demonstration, they do work most of the time like Gmail, Slack, Wavespeed AI etc and you can complete the majority of tasks. Delivery is good and the content well-explained. The biggest difficulty I had was with Kodekloud and the KodeKey they offer - you can't use all of the models that are listed in n8n and it is very specific which model you can use. Furthermore, it outright did not work with text-embedding-3-small when I was following along with the `Pinecone Vector DB Setup` demo and errors out saying you can't use it. The version of n8n in the course is also old and n8n has changed a lot so this course was made, so I would recommend the Kodekloud team to update this course.

By Asad Khan on 1/21/2026

Actually, the labs are based on API keys from paid platforms so, it is difficult to continue with all of them. These should be made based on free platforms as far as possible

By Mariel Flores on 1/11/2026

Automations give error results

By Adrianna Llongueras on 1/7/2026

Excellent but you go too fast.

By Vadiveloo Veloo on 1/5/2026

I have batter undersnading on how the n8n work.

By Gur Yehuda Mann on 12/27/2025

Great course. I Would recommend adding the prompt you used or similar templates so student can use them as well. I didn't use your lab environment but set up my own n8n account - I feel that buying the credits and configuring each myself was the ideal way to go about learning it.

By Sourav Halder on 12/18/2025

Crisp, informative and engaging so far!

Showing all 9 reviews on CourseDuck

Read all 43 reviews on Udemy

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Overall Score : 90 / 100