This learning experience has been designed to guide you through key concepts, practical applications, and critical perspectives in a structured and engaging way. Throughout the course, you will explore the evolution of artificial intelligence from rule-based systems to modern generative models; the main generative AI model families (GANs, Transformers, and Diffusion models) and their real-world applications across creative, professional, and educational domains; hands-on use of text, image, and code generation tools with practical prompting and iteration skills; and the critical evaluation of AI outputs for accuracy, bias, hallucinations, and ethical risks — including responsible integration of generative AI in teaching, assessment, and research; participate in interactive activities, and develop skills that can be applied in real-world contexts..