OpenAI & ChatGPT API's: Expert Fine-tuning for Developers

Mariam Omar develops a hosted fine-tuning workflow through data preparation, formatting and testing. The published examples use GPT-3.5 Turbo and were updated in 2025. It suits learners studying the workflow who are prepared to adapt version-sensitive examples; verify current supported models and endpoints before treating the demonstrations as instructions for a new project.

What you will learn

• Prepare and clean training data.
• Examine hosted tuning workflows.
• Test a tuned model against sample tasks.

Who this suits

Basic programming, Python and introductory NLP knowledge are required.

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

Map the demonstrated workflow to current documentation and identify which dataset rules remain relevant and which model-specific steps need replacement.

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.

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Supporting provider sources

• support.udemy.com: supporting course information