AI Engineering: Fine-Tuning LLMs
Course description
If you're interested in AI that actually works and not just sounds impressive, this compact course is for you.
Fine-tuning the GPT model is not just about changing parameters. It's a process that allows you to "reprogram" the model for your specific tasks and goals.
Whether it's creating intelligent chatbots, personalized learning systems, or content generators, this course provides you with all the tools to implement your ideas using your own custom AI model. You'll learn to prepare data, set up the training process, and evaluate results effectively, like a true professional.
There is no abstract theory here - only practical, modern AI engineering skills that can be applied immediately.
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All Course Lessons (14)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Introduction Demo | 04:23 | |
| 2 | Why Fine-Tuning? | 09:20 | |
| 3 | Fine-Tuning Setup | 04:16 | |
| 4 | Preparing Data for Fine-Tuning | 05:09 | |
| 5 | Fine-Tuning Step by Step | 14:42 | |
| 6 | Generating the Prompt | 03:46 | |
| 7 | Function to Structure Data | 05:39 | |
| 8 | Creating JSONL Files | 04:56 | |
| 9 | Upload Data to OpenAI API | 02:50 | |
| 10 | Fine-Tuning a GPT Model | 04:39 | |
| 11 | Debugging the Fine-Tuning Job | 06:20 | |
| 12 | Evaluating Fine-Tuned Models | 11:20 | |
| 13 | Testing the Fine-Tuned Model | 10:15 | |
| 14 | What's Next? | 08:11 |
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