In an era of growing data privacy concerns, Federated Learning (FL) offers a secure alternative to traditional centralized machine learning by enabling decentralized model training without sharing raw data. This course equips participants with essential knowledge of privacy preserving AI, legal compliance (e.g., GDPR), and hands-on experience using FL tools. It prepares educators, researchers, and professionals to adopt and implement FL in real- world applications, fostering responsible AI development and curriculum integration in alignment with emerging technological and ethical standards.