Building AI Apps with Hugging Face Spaces and Gradio

By the end of this course, learners will be able to: • Load and preprocess HF Hub datasets, fine-tune a pre-trained model with the Trainer API, compute evaluation metrics, and push the result to the Hub with a model card. • Build interactive AI applications using gr.Interface and gr.Blocks with multi-component layouts, conditional visibility, session state, and event listeners • Build a streaming multi-turn chatbot using gr.ChatInterface with an LLM backend and extend it with real-time inference workflows. • Deploy a Gradio app to HF Spaces, configure hardware and secrets, evaluate cost vs. pe