Fine-Tuning Large Language Models

Fine-Tuning Large Language Models is an original Mai Studies programme in artificial intelligence & generative ai. Over 8 weeks and roughly 40 guided hours you work through recorded classes, written notes, practical activities, knowledge checks and assessed tasks marked against a published rubric with an 80% pass mark. All material is written in-house. Mai Studies is independent: no official examination content, question bank, recording or branding from any certification body is reproduced, and completion leads to a Mai Studies completion certificate rather than a regulated or accredited qualification.

8 weeks 40 guided hours Advanced

See membership

No account needed to buy. Pay with your card and we create your student account from the email you enter, with this programme ready inside it for twelve months.

Fine-Tuning Large Language Models course artwork

What you will achieve

Explain the core principles of fine-tuning large language models in plain language
Apply the methods safely and correctly to realistic scenarios
Produce a documented portfolio piece assessed against a published rubric
Plan your next steps in artificial intelligence and generative AI

Entry guidance

— Solid intermediate experience in artificial intelligence and generative AI
— Prior hands-on project work recommended

Original Mai Studies learning material. This is a professional completion programme, not a regulated qualification or university accreditation.

Programme syllabus

3 applied modules

Lessons: 6
Assessed tasks: 3
Practice questions: 4
Timed mock papers: 0

Foundations of Fine-Tuning Large Language Models

Core concepts, vocabulary and working environment for fine-tuning large language models.

2 lessons · 1 practice questions · 1 assessed task

1. What fine-tuning large language models really involves36 min study · 3 learning objectives · practical activity
A grounded tour of the problems this advanced programme solves and the language practitioners use.
2. Setting up your working environment21 min study · 3 learning objectives · practical activity
Prepare the tools, accounts and folder structure you will use throughout the programme.

Foundations of Fine-Tuning Large Language Models: assessed task — marked out of 100, pass at 80%

Applied practice in Fine-Tuning Large Language Models

Hands-on work that turns theory into a repeatable method for artificial intelligence and generative AI.

2 lessons · 1 practice questions · 1 assessed task

1. Working through a realistic scenario37 min study · 3 learning objectives · practical activity
Follow a complete worked example end to end, explaining each decision as you go.
2. Common mistakes and how to avoid them21 min study · 3 learning objectives · practical activity
The errors that cost practitioners most time, and the checks that catch them early.

Applied practice in Fine-Tuning Large Language Models: assessed task — marked out of 100, pass at 80%

Portfolio project, assessment and next steps

Produce assessed evidence of your capability and plan the study that follows this programme.

2 lessons · 2 practice questions · 1 assessed task

1. Building your portfolio piece36 min study · 3 learning objectives · practical activity
Plan, build and document a piece of work you can show to an employer or client.
2. Where to go next21 min study · 3 learning objectives · practical activity
Honest guidance on further study, practice habits and how this fits a wider career path.

Portfolio project, assessment and next steps: assessed task — marked out of 100, pass at 80%

Lesson pages, assessed tasks and mock papers open the moment you join this programme. Teaching material is studied online; the notes you write are yours to download.

What students say

No ratings yet.