In this masterclass, participants will dive deep into the Hugging Face ecosystem, exploring its extensive suite of open-source tools and libraries for NLP, vision, and multimodal AI. This session is designed to empower AI enthusiasts, developers, and researchers to contribute to and build impactful open-source projects. What You Will Learn: Introduction to Hugging Face: Overview of Transformers, Diffusers, and Datasets libraries. Building AI Models: Fine-tuning and deploying NLP and multimodal models. Working with the Hub: Best practices for publishing, sharing, and collaborating on models and datasets. Spaces & Gradio Integration: Creating interactive demos with minimal code. Contributing to Open Source: Understanding contribution workflows and engaging with the Hugging Face community. Key Takeaways: ✅ Hands-on experience with state-of-the-art AI models ✅ Real-world applications of Hugging Face tools ✅ Guidance on open-source collaboration and community best practices ✅ A step-by-step roadmap to launching your own AI project By the end of this masterclass, participants will have a working AI project hosted on Hugging Face Spaces, ready to showcase in their portfolios.