Advanced Fine-tuning Learning Path

Learn Transformers, explained: Understand the model behind GPT, BERT, and T5

State-of-the-Art Machine Learning Papers Implementation

Complete natural language processing specialization covering transformers, attention mechanisms, and modern NLP techniques.

This course on Coursera provides skills to optimize and deploy domain-specific large language models for advanced Generative AI applications. It covers supervised fine-tuning, parameter-efficient methods (PEFT), and reinforcement learning with human feedback (RLHF).

A comprehensive 7-course series that takes you from LLM business strategy to production deployment. You will learn to evaluate LLM opportunities, fine-tune models, and build production-ready applications using tools like Hugging Face and Python.

In partnership with AMD, this course teaches how to apply fine-tuning and reinforcement learning to improve LLM behavior, reasoning, and safety. You will learn about the post-training lifecycle, core techniques like RLHF and LoRA, and how to design evaluations to detect issues like reward hacking and diagnose failures.