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

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This programme carries its own fee in addition to membership, and gives you twelve months to complete it. Your certificate is issued once the fee is paid.

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

Foundations of Fine-Tuning Large Language Models

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

Applied practice in Fine-Tuning Large Language Models

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

Portfolio project, assessment and next steps

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