This course designed to introduce learners to the core concepts and cutting-edge techniques in deep learning. Spanning foundational topics to advanced applications, this course covers the essentials of machine learning, neural networks, convolutional and recurrent models, optimization strategies, generative models, and transfer learning. Students will also explore advanced architectures and delve into the emerging field of deep reinforcement learning. The course concludes with a critical look at ethics and fairness in AI, ensuring a well-rounded understanding of both the power and responsibility that come with modern AI systems.