What you'll learn
Gain a solid foundation in Python's ecosystem for AI development, including hands-on experience with Hugging Face tools.
Understand the core principles of Generative AI, its applications, and how it is transforming industries.
Explore the Hugging Face Transformers library to work with pre-trained models and fine-tune them for real-world tasks.
Learn the intricacies of Transformer architecture and how it powers state-of-the-art AI models.
Discover practical applications of Transformers across text, image, and other modalities
Dive into Diffusion Models for Creative AI Understand how diffusion models work and their growing importance in generative tasks like image and audio creation
Master the Diffusers library to train, fine-tune, and deploy powerful diffusion models.
Seamlessly integrate diffusion models with other tools for innovative generative solutions.
Combine Transformers, Diffusers, and PEFT to tackle complex generative AI challenges.
Learn to integrate PEFT with Transformers and Diffusers for maximum performance.
Apply best practices for efficient fine-tuning and scaling.
Showcase your expertise with a professional-grade AI solution.

Requirements
A computer with stable internet connection capable of running Python and AI libraries.
While some familiarity with AI concepts is helpful, beginners in generative AI are welcome as the course covers foundational topics before diving into advanced concepts.

Description
Most AI courses teach you to copy-paste code and pray it works.This one shows you how the technology actually functions—so you can build anything.You'll master the three frameworks powering modern generative AI: Transformers, Diffusers, and PEFT. The same stack behind ChatGPT, Stable Diffusion, and every AI product capturing attention right now.Here's what you'll actually learn:Deep understanding of Transformer architecture and why it revolutionized AI. You'll work with Hugging Face's ecosystem to fine-tune pre-trained models for real applications.How diffusion models generate images from noise. You'll train and deploy these models using the Diffusers library, then integrate them with other systems.Parameter-efficient fine-tuning techniques that let you customize massive models without massive compute costs. This is how professionals ship AI products fast.The result:You'll combine these technologies to solve complex problems. Text generation. Image synthesis. Multimodal applications. You choose the direction.By the end, you have a portfolio piece that proves you can build—not just talk about—generative AI.This course is for you if:You are interested in learning Python basics and want to specialize in the highest-leverage skill in tech right now.You're tired of surface-level explanations and want to understand how these systems actually work.You need practical skills that translate directly to building products or advancing research.What you need:Basic Python knowledge. A computer that runs Python. Internet connection. That's it.AI experience helps but isn't required. We build from foundations to advanced applications.Four hours of focused content. No filler. No meandering. Just the knowledge that matters, applied to real problems.The AI revolution isn't slowing down. The gap between people who can use AI and people who can build it is widening every day.Choose your side.