Train OpenSource Large Language Models from Zero to Hero

Gal Peretz presents supervised and preference-based training methods with code examples. LoRA, QLoRA and DoRA connect with DPO, KTO and ORPO, followed by acceleration topics. The short runtime and technical breadth suit learners prepared to pause and investigate details; the provider’s no-prerequisite statement should be weighed against the Python and training code in the outline.

What you will learn

• Compare supervised tuning approaches.
• Explore preference-based alignment methods.
• Investigate multi-GPU and Unsloth examples.

Who this suits

The provider states no prior knowledge is required; the intermediate filter reflects the technical training examples.

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

Explain the data each of two alignment methods requires and design a small fictional example showing why the datasets are not interchangeable.

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.

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Supporting provider sources

• support.udemy.com: supporting course information