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.
Start your journey into fine-tuning with foundational concepts and hands-on exercises designed for newcomers.
Master advanced fine-tuning concepts with expert-level content and cutting-edge techniques.
Learn reinforcement learning for free with Hugging Face, Kaggle, and university courses. Build game-playing agents and understand advanced RL algorithms.
Build on your existing knowledge with intermediate fine-tuning techniques and real-world applications.
Explore more courses and learning paths related to Fine-tuning and Reinforcement Learning for LLMs: Intro to Post-Training.
Provided by DeepLearning.AI
Pricing: Free to audit, paid certificate
Via Coursera. Free to audit, certificate $49