Fine-Tuning & Custom Models

Learn when and how to fine-tune LLMs for specialized tasks, including data preparation, training strategies, evaluation, and deploying custom models cost-effectively. Course 15 · Advanced · 10 lessons · ~14h

Lessons

#	Lesson	Duration	Level
1	When and Why to Fine-Tune LLMs	35 min	advanced
2	Preparing Training Data for Fine-Tuning	40 min	advanced
3	Fine-Tuning with the OpenAI API	45 min	advanced
4	Fine-Tuning Open-Source Models with Hugging Face	50 min	advanced
5	LoRA and Parameter-Efficient Fine-Tuning (PEFT)	40 min	advanced
6	Evaluation and Benchmarking Fine-Tuned Models	40 min	advanced
7	RLHF and Preference Tuning	45 min	advanced
8	Deploying Fine-Tuned Models	45 min	advanced
9	Model Distillation and Compression	40 min	advanced
10	Fine-Tuning Best Practices and Case Studies	35 min	advanced
Start here: When and Why to Fine-Tune LLMs