This course is designed to help learners understand how modern AI systems create text, images, code, and other content. The course explains the core concepts behind generative models, including neural networks, transformers, large language models, diffusion models, and probabilistic learning. You will explore how generative AI works under the hood, how large language models are trained, and how prompting techniques influence outputs. By the end of the course, participants gain a clear, practical understanding of generative AI technologies and how they are applied across business, software development, content creation, and automation.