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Certification

Certification in Building and Orchestrating AI Agent Teams with n8n Automation

Become certified in AI Agent Team Automation with n8n,prove your ability to design, implement, and optimize automated workflows, streamlining tasks like research and content creation to boost productivity and efficiency in any organization.

Exam of 10 to 20 questionsCertificate for LinkedInBeginner · Intermediate
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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.

What the exam covers

2 questions from each of the 8 chapters of the course

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

  1. 01Defining the project scope1:38
  2. 02Telegram trigger2:49
  3. 03Main AI agent5:33
  4. 04Hosting on a VPS1:16
  5. 05Research agent10:47
  6. 06Thumbnail agent9:24
  7. 07Title agent2:36
  8. 08Scripting and integration8:32
About the course

Earn the "Build Powerful AI Agent Teams with n8n: Automation Workflow Essentials" certification to master the art of transforming repetitive business tasks into streamlined, automated workflows using specialized AI agents. Gain in-demand skills that boost productivity, give you a competitive edge, and prepare you for a future-proof career in automation and AI integration. Enroll now to unlock the potential of AI agent teams and reclaim valuable time for higher-impact work.

This certification covers the following topics:

  • Understanding AI agents and their roles in automation
  • Designing modular workflows in n8n
  • Configuring triggers to activate workflows
  • Utilizing n8n nodes and modules effectively
  • Securing connections with credentials and API keys
  • Defining system prompts to tailor agent behavior
  • Integrating and configuring large language models (LLMs)
  • Building and orchestrating main and specialized agent workflows
  • Connecting agent teams using the "Call n8n Workflow" feature
  • Testing, debugging, and ensuring workflow reliability
  • Deploying and hosting AI agent teams for real-world use
  • Applying automation frameworks across different business scenarios