This course provides a comprehensive introduction to neural networks and deep learning, covering both theoretical and practical aspects. It begins with an overview of neural networks, followed by essential mathematical foundations. Learners will explore the training process, including optimization techniques, and dive into advanced deep learning architectures. The course also touches on back-end development related to deep learning systems and explores real-world applications such as image classification. Ethical considerations and current challenges in AI are discussed, alongside the latest advances in the field. Perfect for those looking to deepen their understanding of artificial intelligence and machine learning.