Description
Build once. Run forever.
You’ve seen them—
Those short, faceless videos with crisp visuals, smooth motion, and clean edits.
They’re everywhere.
TikTok. YouTube Shorts. Instagram Reels.
They look effortless.
They’re not made by hand.
They’re automated.
This course is for creators who are done doing everything manually.
If you:
- Don’t want to show your face
- Don’t want to spend hours editing
- Can’t stay consistent with posting
Are tired of switching between 5 different tools just to create one video
Then you need more than a tutorial.
You need a system.
In this course, you’ll learn how to use n8n, an open-source automation platform, to create a complete faceless video production pipeline.
- No camera.
- No mic.
- No voiceover.
- No editing timeline.
Just a system that turns text or quotes into short videos—automatically.
You’ll learn how to:
- Install n8n locally or on a self-hosted VPS
- Connect and configure tools like FFmpeg, BaseRow, Minio, and NCA Toolkit
- Import your automation workflow into n8n
- Load quotes and generate visual content at scale
- Set up YouTube API integration to auto-publish your videos
By the end of the course, you’ll have:
- A fully automated content engine
- A local workflow you control (no monthly tools required)
- The ability to generate faceless shorts at scale
- A replicable system you can use for multiple channels or niches
This is not a hack.
It’s not a “how to go viral” promise.
This is infrastructure.
A blueprint for content without burnout.
If you’re stuck in the endless cycle of
“idea → edit → post → repeat,”
this course will break it.
You won’t just make videos.
You’ll deploy a system that makes them for you.
No voice.
No face.
No limits.
Who this course is for:
- Creators who want to make faceless Shorts, Reels, or TikToks without editing manually
- Anyone tired of spending hours recording, cutting, and uploading videos
- n8n users looking to automate content workflows
- Marketers, solopreneurs, and side hustlers who want to scale content output
- Tech-savvy beginners ready to build systems, not just content
