Resources to learn n8n, python and Computer Vision

Artificial Intelligence

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16 July 2025
computervision
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

• AI Automation for Beginners with n8n (Thanh Nguyen, 1.5 hrs)
– Perfect for zero-install cloud users. You’ll sign up for n8n Cloud in Chapter 4, learn core nodes, triggers and build 2–3 simple workflows in under two hours. AI Automation for Beginners with n8n | Udemy by Thanh Nguyen, 1.5 hours
• N8N for Beginners: Build Automations from Scratch (Abner Francisco, 5.5 hrs)
– Ideal if you want full control: local CE install walkthrough, Google Sheets→email reports, Slack/Telegram bots and webhook-driven automations, all with downloadable JSONs. N8N for Beginners: Build Automations from Scratch | Udemy 5.5 hours, by Abner Fransisco

Python and computer vision

• OpenCV Python For Beginners | Hands-on Computer Vision (Yogesh Patel, 12 hrs)
– Starts with IDE setup (PyCharm/VS Code + virtualenv), then guides you through image I/O, filtering, feature detection and simple object tracking. Reviews praise its “up and running in 10 minutes” clarity. OpenCV Python For Beginners | Hands on Computer Vision | Udemy 12  hours by By Yogesh Patel

• Python for Computer Vision with OpenCV and Deep Learning (Jose Portilla, 14 hrs)
– A bestseller that assumes Jupyter notebooks, you’ll cover everything from basic image processing to face detection, object tracking and TensorFlow/Keras-based models. Students love the end-to-end notebooks and real-world demos. Python for Computer Vision with OpenCV and Deep Learning | Udemy 14 hours, by Jose Portilla

 

recommended Arduino and computer vision

use the free YouTube “Computer Vision With Arduino | 2 Hour Course” by Murtaza’s Workshop for a zero-gap wiring, IDE and OpenCV project walkthrough.

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