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Certification in Designing and Automating n8n Workflows with AI Agents

Get certified in n8n Automations & AI Agents. Prove you can design reliable, modular workflows using core nodes, data mapping, APIs, and the Automations vs Agents model,ship a daily weather email, qualify leads, and deploy an AI assistant.

Exam of 10 to 20 questionsCertificate for LinkedInBeginner · Intermediate
IT and developmentOperationsSales
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The exam

Take the certification exam

Multiple-choice questions about the course. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.

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What the exam covers

2 questions from each of the 10 chapters of the course

20 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.

  1. 01What n8n is2:22
  2. 02Build 1: a simple workflow6:29
  3. 03Setting up n8n1:38
  4. 04Five node types1:28
  5. 05Build 2: form to email to sheet8:23
  6. 06JSON2:08
  7. 07Agents vs automations1:11
  8. 08APIs and HTTP requests2:12
  9. 09Build 3: personal assistant agent9:10
  10. 10Final tips1:21
About the course

This certification, Learn 80% of n8n: Automations & AI Agents in 36 Minutes (Video Course), takes you from zero to shipping by building a daily weather email, a lead qualification flow, and an AI assistant while mastering core nodes, data mapping, APIs, and the Automations vs. Agents model. You'll gain practical skills that drive increased productivity, improved decision-making, competitive advantage, and adaptability and growth. Enroll now to apply n8n immediately and ship reliable, modular automations and AI agents with confidence.

This certification covers the following topics:

  • Automations vs. Agents model for reliable, modular workflows
  • n8n visual canvas and workflow architecture
  • Core node types and reusable patterns
  • Data flow fundamentals: JSON, expressions, and mapping
  • APIs and the HTTP Request node
  • Credentials management: secure, reusable connections
  • Case study: daily weather email automation
  • Case study: automated lead qualification pipeline
  • Case study: building a personal AI assistant
  • Debugging, testing, error handling, sub-workflows, and reliability best practices