Generative AI Advanced Fine-Tuning for LLMs
Completed by Andrew W Eliasz
March 2, 2026
9 hours (approximately)
Andrew W Eliasz's account is verified. Coursera certifies their successful completion of Generative AI Advanced Fine-Tuning for LLMs
What you will learn
In-demand generative AI engineering skills in fine-tuning LLMs that employers are actively seeking
Instruction tuning and reward modeling using Hugging Face, plus understanding LLMs as policies and applying RLHF techniques
Direct preference optimization (DPO) with partition function and Hugging Face, including how to define optimal solutions to DPO problems
Using proximal policy optimization (PPO) with Hugging Face to build scoring functions and tokenize datasets for fine-tuning
Skills you will gain
- Category: Reinforcement Learning
- Category: Generative Model Architectures
- Category: Machine Learning Methods
- Category: Model Evaluation
- Category: Model Optimization
- Category: Generative AI
- Category: Model Training
- Category: Large Language Modeling
- Category: Fine-tuning
