Requirements

• Basic comfort with the command line and installing software on your own computer. Some familiarity with APIs or basic programming (any language) is helpful but not required — core concepts are explained from the ground up. No prior LLM or machine learning experience needed. A computer with at least 8–16GB RAM is recommended for following along with smaller models; a GPU is helpful but not required.

Description

Who this course is for:

• This course is for developers
• hobbyists
• and privacy-conscious builders who want to run large language models on their own hardware instead of depending on cloud APIs — whether for cost control
• data privacy
• offline use
• or simply curiosity. Its well suited to those with some basic technical comfort (command line
• basic scripting) who want a practical
• hands-on path through the full local LLM stack: getting a model running
• tuning it for real performance
• building applications on top of it
• and eventually operating it reliably in production. It is not intended for those seeking deep theoretical machine learning or model training content — the focus here is on deployment
• tooling
• and real-world usage.