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Fine‑tuning a small language model on your data

12 lessons · 40:24 · updated 9/9/2026

Watch them in order, then explain the topic in your own words below.

Nobody with subject knowledge has checked this course yet. It was put together automatically.

What you will do in this course

  • Fine-tuning overview demo
  • Fine-tune with Unsloth
  • Improve fine‑tuning results
  • Gather training data
  • Configure fine‑tuning
  • Evaluate and export model
  • Format data files
  • Train model locally
0 / 12 lessons watched

Getting started

6 lessons

1. How to fine tune a custom AI model

Fine-tuning overview demo

techwithtimhub · watch the original · 1:07

2. Gathering Data

Gather training data

Tech With Tim · watch the original · 3:27

3. Formatting Data for the Model

Format data files

Daniel Bourke · watch the original · 2:14

4. Testing the Base Model

Test base model

Daniel Bourke · watch the original · 9:43

5. Google Collab Setup

Collab environment setup

Tech With Tim · watch the original · 3:25

6. Model Setup in Ollama

Set up Ollama

Tech With Tim · watch the original · 5:04

Now you explain it

Close what you watched and explain the topic in your own words in 30 seconds. What you can explain is what you have learned. You are marked against this course's lessons and nothing beyond them.

Explain how you would do this: Getting started — Format data files.

You are judged on these, and nothing else in the course:

  • Fine-tuning overview demo
  • Gather training data
  • Format data files

Doing it properly

3 lessons

1. Fine-Tuning with Unsloth

Fine-tune with Unsloth

Tech With Tim · watch the original · 7:41

2. Setting Up Supervised Fine-Tuning

Configure fine‑tuning

Daniel Bourke · watch the original · 2:16

3. Training the Model Locally

Train model locally

Daniel Bourke · watch the original · 1:56

Now you explain it

Close what you watched and explain the topic in your own words in 30 seconds. What you can explain is what you have learned. You are marked against this course's lessons and nothing beyond them.

Explain how you would do this: Doing it properly — Train model locally.

You are judged on these, and nothing else in the course:

  • Fine-tune with Unsloth
  • Configure fine‑tuning
  • Train model locally

Going deeper

3 lessons · short section, not a full path on its own

1. Improve your fine-tuning results with an identifier - works with even a small number of training

Harper Carroll AI · watch the original · 1:20

2. Evaluation and GGUF export

Evaluate and export model

Zen van Riel · watch the original · 1:08

3. App-level GenAI (LiteRT-LM for custom/boutique models)

Deploy model in app

AI Engineer · watch the original · 1:03

Now you explain it

Close what you watched and explain the topic in your own words in 30 seconds. What you can explain is what you have learned. You are marked against this course's lessons and nothing beyond them.

Explain how you would do this: Going deeper — Deploy model in app.

You are judged on these, and nothing else in the course:

  • Improve fine‑tuning results
  • Evaluate and export model
  • Deploy model in app

Not part of the path

Added by readers, or indexed before this course was sorted. These are not counted as one of the three sections.

1. How to Finetune LLM ? | Repo in comments and desc

Sukhad Anand · watch the original · 0:46

2. LLM Fine-tuning Made Actually Simple

The AI Guide · watch the original · 0:38

3. How to run LLMs locally [beginner-friendly]

IndividualKex · watch the original · 0:59

4. Micro Center A.I. Tips | How to Set Up A Local A.I. LLM

Micro Center · watch the original · 0:59

5. Fine-tuning an LLM to generate memes

Coding with Lewis · watch the original · 0:58

6. Let's train an AI model to generate recipes!

Make Stuff With AI · watch the original · 0:59

7. Fine-tune language models with surprisingly little data!

Google for Developers · watch the original · 0:28

8. Fine-Tuning and Customizing LLMs with NVIDIA RTX Virtual Workstation

NVIDIA Developer · watch the original · 0:19 · a taster

9. Fine-Tune OpenAI GPT-3 Davinci Model - JavaScript Walkthrough

Coding Nexus · watch the original · 0:06 · a taster

10. Ingredients and Preparation

Daniel Bourke · watch the original · 2:58

11. Testing the Model with Sample Data

Daniel Bourke · watch the original · 1:18

Turn what you built into work

  1. Find a business with a task it repeats by hand: answering the same messages, copying orders into a spreadsheet, booking by phone.
  2. Adapt what you built in this course to that task and show it working. Your task's proof is your demo.
  3. Do the first setup for a small fee or free, and ask for a review that describes the result in return.

A suggestion, not a promise of earnings.