LLM Fine-Tuning with Hugging Face: LoRA, QLoRA, PEFT

Laxmi Kant connects transformer foundations and common language tasks with custom datasets and parameter-efficient tuning. The outline includes classification, question answering, summarization and LLM examples. It suits learners seeking a substantial technical course who want to compare model and dataset choices rather than follow one notebook without understanding its assumptions.

What you will learn

• Prepare datasets for transformer tasks.
• Explore BERT and other model workflows.
• Use PEFT, LoRA and QLoRA concepts.

Who this suits

Technical learners ready for Python-based model training; preview the programming and environment requirements.

Before you enroll

Training may require paid APIs, suitable GPU hardware or cloud credits. Check current model availability, licenses and library compatibility before enrolling. Use permissioned, non-sensitive datasets and keep evaluation examples separate from training data. Compare the tuned model with the baseline; tuning does not guarantee better accuracy or reliable behavior.

Udemy offers paid purchase or subscription access depending on the current course and region. Paid teaching courses provide completion certificates under Udemy’s policy. Check current access terms and any separate software or material costs before enrolling.

Put it into practice

Choose a small permitted dataset and document its labels, split strategy and baseline result before attempting an adapter-based training run.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

Where a formal level is unavailable, the level filter is an editorial estimate based on the published audience and requirements. Duration filters reflect the listed video time; exercises and independent practice can take longer.

View the curriculum and current access options at Udemy.

How YellowCourse describes and checks learning resources.

Supporting provider sources

• support.udemy.com: supporting course information