LearnKartS

Deploy, Test & Secure AI Workflows with n8n

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LearnKartS

Deploy, Test & Secure AI Workflows with n8n

Nikhil Agarwal
LearnKartS

Instructors: Nikhil Agarwal

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Deploy, test, andvalidateAI workflows to ensure reliable performance before production release

  • OptimizeAI workflows, handle uncertain responses, and migrate solutions across environments

  • Monitor, troubleshoot, and improve AI systems using logs, alerts, cost tracking, and debugging practices

  • Strengthen AI security, evaluate response quality, and apply governance controls for production systems

Details to know

Shareable certificate

Add to your LinkedIn profile

Recently updated!

June 2026

Assessments

6 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the AI Automation Engineer with n8n Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 3 modules in this course

Learn how to deploy and expose n8n workflows using tools like ngrok and validate real-time execution. You will also test, debug, and stabilize workflows to ensure they work reliably in external environments.

What's included

11 videos2 assignments

Learn how to improve workflow reliability through filtering, confidence handling, and error detection. You will also migrate workflows from local setups to VPS-based production environments with proper configuration.

What's included

10 videos1 reading2 assignments

Learn how to monitor and debug production workflows using logs, alerts, and evaluation frameworks. You will also explore AI security, RAG optimization, and MCP architecture for scalable production systems.

What's included

9 videos1 reading2 assignments

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Nikhil Agarwal
LearnKartS
22 Courses2,019 learners

Offered by

LearnKartS

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