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AI Automation Workflows with n8n Course - Online Learning with Certificate
AI Automation Workflows with n8n

AI Automation Workflows with n8n

n8n is a flexible automation platform for connecting apps, transforming data, and building AI-powered workflows. You'll develop strong fundamentals th…Show more
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Course for Beginner Level


5 modules 5 modules
Interactive environment Interactive environment
24 chapters 24 chapters
AI Assistant AI Assistant
24 assignments 24 assignments
Shareable Certificate Shareable Certificate

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Outcomes
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Course content
Related courses
Testimonials
Features
Pricing
FAQs

What you will learn

Build workflows that reliably connect apps, handle triggers, and move data end to end.
Shape, clean, and validate JSON so every node, API, and AI model behaves predictably.
Use AI inside n8n the right way, from simple text transforms to full reasoning chains.
Debug automations with confidence by inspecting items, tracing data flow, and fixing broken payloads.

Course content

n8n is a flexible automation platform for connecting apps, transforming data, and building AI-powered workflows. You'll develop strong fundamentals through real, practical examples, covering …
A practical overview of n8n's environment, core tools, and the mindset needed to build automations. Concepts include using AI effectively, understanding how data flows through nodes, importing templates, and transforming raw inputs into structured output.
A focused exploration of the essential workflow components. Triggers, data manipulation nodes, HTTP requests, webhooks, and flow control logic. The material builds a clear mental model for how executions start, how data is shaped, and how routing decisions are made.
A deep dive into how n8n represents and processes data. Topics include JSON structure, reading full payloads, repairing malformed JSON, handling arrays and objects, and working with binary files. The goal is predictable, confident data handling across all workflows.
A step-by-step transformation of an ODT plan into a structured automation blueprint. The material covers reliable RSS feeds, preparing data for LLMs, generating tweets with Airtable loops, designing outcome-driven flows, and mapping the full workflow inside Miro.
A complete build from initial concept to final output. Topics include structuring the flow, normalizing API data, looping, error-proofing, and writing back to Airtable with polished automation that demonstrates end-to-end reliability and clarity.
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Kwizera Mugisha

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Kwizera Mugisha

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The teaching methodology at Codefinity is excellent, and I particularly appreciate how it has prepared me to handle real-world coding problems. Currently, I am delving into Node.js and eagerly anticipate building full-stack projects that integrate all the knowledge I have gained.

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My first course was 4 hours, I did it in a few days, "nugget-style". The instructions are very clear and easy to understand. There is even a hint to help you get the answer. I love the learning style that is used, it engages me.

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I have really liked the browser-based lessons that allow me to code within the lesson. The RUN button allows me to test the code I write before submitting for a grade.

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IT Support Specialist

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I have gained a lot of practical and logical thinking skills, along with patience for myself and confidence in myself that I can learn programming. Years ago, I would have never thought that I could learn programming in any way, shape or form, and I was able to obtain these certifications and skills with Codefinity.

Steve Bruening

Technology Project Manager

Steve Bruening

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The learning was progressive and made it easy to follow along and make progress. I could feel my skills increasing and building on each other as the course went along.

Stephanie Chan

Project Manager

Stephanie Chan

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As I went through the first course of the Python track, I liked the way the course was lay out (in easy and digestible modules) with little exercises at the end of each concept.

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