Hugging Face Hub and Ecosystem Fundamentals

Master the Hugging Face ecosystem—the leading open-source platform for machine learning. This hands-on course teaches you to discover, evaluate, and deploy pre-trained models for text, image, and audio tasks without training from scratch. You'll learn to navigate the Hugging Face Hub to find models among 500,000+ options, read model cards to make informed selections, and understand licensing for commercial use. Through practical exercises, you'll build inference pipelines using the Transformers library, process datasets efficiently with streaming for large-scale data, and deploy models across different hardware (NVIDIA GPUs, Apple Silicon, CPU). The course culminates in building a multi-modal content analyzer that classifies text sentiment, categorizes images, transcribes audio, and generates captions—demonstrating how modern ML practitioners leverage pre-trained models to solve real problems quickly. Designed for developers and data scientists who want to accelerate their ML workflows, this course provides the foundation for fine-tuning and deploying Hugging Face models in production environments. All exercises use real-world scenarios from healthcare, fintech, and media industries

• Navigate the Hugging Face Hub to discover, evaluate, and select pre-trained models
• Understand the Hugging Face open-source machine learning ecosystem
• Build inference pipelines using the Transformers library
• Process large datasets efficiently with streaming
• Deploy models on diverse hardware
• Read model cards for informed decision-making

• Basic familiarity with the topic and terminology
• Willingness to engage in practical exercises