Course · 7 chapters
Run an LLM on Your Own Machine
Run a capable LLM on the computer you already own — pick a tool, fit a model to your hardware, serve it to real projects, and upgrade smartly when you outgrow it.
What you'll be able to do
- The map of this path — why running models locally is worth it, how the six chapters build on each other, and where to begin.
- The model on your own machine is weaker than the frontier — and that trade is worth making more often than you'd think.
- Four friendly front doors, one shared engine underneath — so the choice is about comfort, not capability.
- One number decides whether a model runs on your machine — and one trick lets you bend it.
- Your hardware already narrowed the field — now choose by the job and read the license before you commit.
- Local models speak the same language as the cloud — so wiring one into your code is mostly changing a single line.
What's inside
- 1Run an LLM on Your Own Machine: Start Here
The map of this path — why running models locally is worth it, how the six chapters build on each other, and where to begin.
- 2Why Run an LLM Locally
The model on your own machine is weaker than the frontier — and that trade is worth making more often than you'd think.
- 3The Tools That Run Models
Four friendly front doors, one shared engine underneath — so the choice is about comfort, not capability.
- 4Hardware & Quantization Reality
One number decides whether a model runs on your machine — and one trick lets you bend it.
- 5Pick Your Local Model
Your hardware already narrowed the field — now choose by the job and read the license before you commit.
- 6Serve a Model to Your App
Local models speak the same language as the cloud — so wiring one into your code is mostly changing a single line.
- 7Build a Better Home Machine
Outgrew your hardware? The upgrade is one number — grow the right kind of memory, and a whole model class opens up.
Earn a certificate
Complete all chapters to receive your certificate of completion.