Generative AI Fundamentals
Who is this course for
Build Technical Depth – Understand how generative AI models actually work, from neural networks to foundation models.
Hands-On Practice – Learn PyTorch, Hugging Face, and parameter-efficient fine-tuning through coding exercises and a real project.
Future-Proof Skills – Gain the ability to adapt and fine-tune cutting-edge foundation models for your own use cases.
Course Overview
Generative AI Fundamentals gives you a solid foundation in generative AI by exploring its principles, models, and relationship to prior AI innovations. You’ll learn how deep learning powers generative models, gain hands-on experience with PyTorch and Hugging Face, and practice customizing open-source foundation models. The course concludes with a project applying parameter-efficient fine-tuning (PEFT), a cutting-edge technique for adapting massive models with minimal compute.
What You'll Learn
A clear understanding of the principles and architectures behind generative AI.
Practical skills with deep learning frameworks like PyTorch and Hugging Face.
Experience customizing pre-trained foundation models with modern fine-tuning techniques.
A completed project applying PEFT to a Hugging Face model.
