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J Garg - Real Time Learning

LLM Fine Tuning Fundamentals + Fine tune OpenAI GPT model

Explore J Garg’s fine-tuning course on dataset preparation, JSONL formatting, token costs, training jobs and comparing tuned and baseline models.

PaidBeginner2–4 hoursEnglishCertificateLLM Fine-Tuning
Go to course

Opens on the provider’s site. Check current access and certificate terms there.

Course overview

J Garg introduces tuning concepts before a Python-based workflow involving data preparation, token counting, training and evaluation. It suits learners with basic Python who want to understand the steps around a hosted tuning job. Dashboard screens, supported models and pricing can change, so the workflow should be checked against current provider documentation.

What you will learn

  • Prepare and format a tuning dataset.
  • Examine token costs and training jobs.
  • Compare tuned and baseline model behavior.

Who this suits

Basic Python knowledge is required by the provider.

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

Create a tiny fictional dataset specification and an evaluation checklist, identifying what must be validated before any paid training job is submitted.

Source and review

This overview is based on the provider's published information, checked on . 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

At a glance

Provider
Udemy
Learning format
Course
Price
Paid
Level
Beginner
Study time (approx.)
2–4 hours
Language
English
Certificate
Available; check provider terms
Created by
J Garg - Real Time Learning
Category
LLM Fine-Tuning
Subjects
Data Science and Machine Learning, Artificial Intelligence
Page updated
12 Oct 2026