n8n & Make: AI Workflow Automation

Freshers aiming at operations, automation, sales operations and AI automation roles will find the course a practical starting point, as will analysts and marketers who repeat the same copy-paste steps every day. No coding is required for most lessons, though the Code Steps lessons introduce short JavaScript expressions. Learners who want to go deeper on the AI side can follow up with prompt engineering and the AI agents crash course.

Each lesson is a short reading card with narration and diagrams, such as a picture of items flowing from a trigger through an if node into two branches, or a view of an AI agent choosing which tool to call. After the card, you answer MCQ practice items one at a time. Every answer comes with an explanation, so a wrong choice shows you why the correct option works. The course runs guided or self-paced, so you can follow the curriculum in order or move at your own pace. It is free with Abekus Pro, and otherwise it is paid in credits.

Udemy and Coursera host long video courses on n8n and Make, usually recorded on one version of each tool, so screens can look different by the time you watch. This course focuses on ideas that stay the same across versions: whether a webhook or a schedule should start a flow, how to map nested JSON between apps, when to retry an error and when to stop, or how to check an LLM's output before writing it to a CRM. MCQ practice suits learners who want that reasoning.

Pick one repeated task from your own work or college life, such as collecting form responses into a sheet and sending a confirmation email, and automate it in n8n or Make as you study. Answer each MCQ before reading the explanation. Revisit Working with JSON and Retry Strategies a few days later, since data shape and error handling cause most broken flows. Add an LLM step only after the flow works without it, and validate the model's output before any write.