Explore the transformative potential of Multi-Modal Learning with Python in this comprehensive conference talk from DSC EUROPE 24. Nandana Sreeraj demonstrates how combining visual, audio, and textual data creates more powerful AI systems through real-world examples like self-driving cars that simultaneously process road visuals, honking sounds, and traffic sign text. Learn practical Python implementations for integrating diverse data streams in AI applications, with examples accessible to both experienced data scientists and newcomers to artificial intelligence. The presentation provides an interactive journey through multi-modal learning techniques, offering inspiration and practical knowledge for enhancing AI projects by leveraging multiple data types together. This technical session was presented at the Data Science Conference in Belgrade on November 18th, 2024.