n8n + AI for Beginners - Business Automation Essentials

Packt via Coursera

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Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

9 weeks, 1 hour a week
Sessions

Self-Paced
Level

Beginner
Subtitles

English

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Overview

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Build real-world automation workflows using n8n from day one. Explore cloud, Docker, and VPS deployments while mastering APIs, data handling, and workflow logic. Extend your systems with agentic AI, structured error handling, loops, and evaluation techniques for production-grade automation. Automation is no longer optional for modern teams. This learning journey begins with a clear introduction to n8n, its strengths, limitations, pricing model, and hosting options so you can choose the right setup for your goals. You’ll quickly move from theory to practice by building your first workflows in the cloud, integrating APIs, and connecting services such as Telegram while understanding executions, logs, and workflow history. Next, the course expands into professional deployment paths, including Docker-based local hosting and VPS configurations for full control and scalability. You’ll explore credentials management, triggers, JSON data structures, expressions, execution order, and workflow testing strategies. Through structured build-and-learn projects, you’ll create inbox automation systems with labeling, deduplication, and dataset comparisons while mastering debugging and optimization. Finally, you’ll step into advanced automation with agentic AI, sub-workflows, error-handling strategies, retries with exponential backoff, loops for rate-limit control, and model evaluations for AI quality. By the end, you will confidently design reliable, scalable automation systems ready for production use. Targeted at developers, automation engineers, and technical professionals with basic API knowledge and familiarity with JSON. This course is designed for developers, automation engineers, technical founders, and IT professionals who want full control over workflow automation using n8n. It suits those interested in API integrations, AI-driven processes, and self-hosted infrastructure. A basic understanding of APIs, JSON, and command-line usage is recommended. Familiarity with Docker is helpful but not mandatory, as deployment is covered step by step. The course follows a build-as-you-learn structure where each concept is immediately applied in a working workflow. Foundational theory is introduced only when necessary to support practical implementation. Progressive projects reinforce understanding while expanding from simple automation to AI-powered, production-ready systems. This course is based on n8n + AI for Beginners - Business Automation Essentials, by David Pedley. This video is licensed and distributed by Packt. All rights reserved. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.

Syllabus

An Introduction To n8n and This Course
- This module provides an in-depth overview of n8n, covering its functionality as a workflow automation tool, its integration within modern systems, and its practical applications. Learners will explore its strengths, limitations, and licensing options, as well as compare different deployment strategies. By the end, they will have a solid foundation to evaluate n8n for their automation needs.
Getting Started (using n8n cloud)
- This module provides an introduction to working with n8n cloud, covering setup, navigation, workflow creation, and integration with external tools. Learners will gain hands-on experience with the interface and learn to build and manage automated processes effectively.
Locally hosting n8n using Docker (Optional)
- This module guides learners through the process of locally hosting n8n using Docker, covering Docker's benefits, installation steps, and container management. It provides hands-on experience with setting up Docker environments and maintaining n8n containers efficiently.
Running your own n8n VPS (Optional)
- This module guides learners through setting up and managing an n8n VPS using Docker and PowerShell. It covers essential tasks such as SSH configuration, server maintenance, and environment variable setup to optimize n8n performance.
Build & Learn - The Basics
- This module covers the fundamentals of building and managing workflows using n8n, including secure credential handling, data flow through nodes, and workflow execution logic. Learners will gain hands-on skills in configuring triggers, manipulating data with code nodes, and optimizing workflow efficiency. The module also explores advanced topics like branching logic, execution order, and data labeling.
Build & Learn - Agentic AI
- This module introduces the concept of agentic AI and how it can be used to automate tasks like Gmail label workflows. Learners will explore how to design agent-based systems, configure tools, and compare agentic approaches with traditional methods. The module emphasizes structured instruction and performance evaluation in AI-driven workflows.
Build & Learn - Settings, Overcoming Errors and Sub-Workflows
- This module teaches how to configure workflow settings, manage execution progress, and implement error-handling strategies. It covers modularizing workflows using sub-workflows and designing robust retry mechanisms. Learners will gain practical skills in building maintainable and reliable automation solutions.
Build & Learn - Loops
- This module covers the practical application of loops and branching in automating API interactions. Learners will gain skills in managing API rate limits, preventing data duplication, and improving error handling through batching and throttling techniques.
Build & Learn - Evaluations
- This module explores the importance of evaluations in AI model development, how to incorporate quality metrics, and practical strategies for setting up and running workflow evaluations using tools like Google Sheets and data tables.