Fine-Tuning & Optimizing Large Language Models
Completed by Xiaocui Zhang
March 1, 2026
13 hours (approximately)
Xiaocui Zhang's account is verified. Coursera certifies their successful completion of Fine-Tuning & Optimizing Large Language Models
What you will learn
Apply transfer learning and parameter-efficient fine-tuning techniques (LoRA, adapters) to adapt pretrained LLMs for domain-specific tasks
Build end-to-end fine-tuning pipelines using Hugging Face Trainer APIs, including data preparation, hyperparameter tuning, and evaluation
Design and optimize LLM context using relevance selection, compression techniques, and scalable context engineering patterns
Optimize, deploy, monitor, and maintain fine-tuned LLMs using model compression, cloud inference, and continuous evaluation workflows
Skills you will gain
- Category: Model Optimization
- Category: Model Evaluation
- Category: Context Engineering
- Category: Context Management
- Category: Fine-tuning
- Category: LLM Application
- Category: Hugging Face
- Category: Model Training
- Category: Transfer Learning
- Category: Token Optimization
- Category: Large Language Modeling
