Master Automation, Computer Vision & Arduino Projects with These Top Courses

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27 June 2025
Dive into step-by-step automations with n8n, unlock Python-powered computer vision with OpenCV, and extend your skills into Arduino vision projects—all through these top-rated, hands-on courses.

n8n Starter Courses

1. AI Automation for Beginners with n8n

Instructor: Thanh Nguyen | Duration: 1.5 hours | Platform: Udemy

  • Designed for cloud-first learners—no local install required.
  • Learn core nodes, triggers, and build 2–3 simple workflows.
  • Chapter 4 walks you through signing up for n8n Cloud.
  • Ideal for quick wins in under two hours.

AI Automation for Beginners with n8n | Udemy by Thanh Nguyen, 1.5 hours

2. N8N for Beginners: Build Automations from Scratch

Instructor: Abner Francisco | Duration: 5.5 hours | Platform: Udemy

  • Full control with local Community Edition setup.
  • Build Google Sheets → email reports, Slack/Telegram bots, and webhook-driven workflows.
  • Includes downloadable JSON templates for every project.

N8N for Beginners: Build Automations from Scratch | Udemy 5.5 hours, by Abner Fransisco

Python and computer vision

3. OpenCV Python for Beginners: Hands-On Computer VisionInstructor: Yogesh Patel | Duration: 12 hours | Platform: Udemy

  • Start with IDE setup (PyCharm or VS Code + virtualenv).
  • Learn image I/O, filtering, feature detection, and basic object tracking.
  • Praised for its clarity—get up and running in just 10 minutes.

OpenCV Python For Beginners | Hands on Computer Vision | Udemy 12  hours by By Yogesh Patel

4. Python for Computer Vision with OpenCV and Deep Learning

Instructor: Jose Portilla | Duration: 14 hours | Platform: Udemy

  • Uses Jupyter notebooks for seamless learning.
  • Covers image processing, face detection, object tracking, and deep learning with TensorFlow/Keras.
  • Features real-world demos and complete end-to-end notebooks.

Python for Computer Vision with OpenCV and Deep Learning | Udemy 14 hours, by Jose Portilla

 

Recommended (and FREE) Arduino and computer vision  resources

Free Resource: Computer Vision with Arduino – 2 Hour Course

Instructor: Murtaza’s Workshop | Platform: YouTube

  • A practical walkthrough covering wiring, IDE setup, and OpenCV integration.
  • Perfect for hands-on learners looking to bridge hardware and vision tech.

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