This course will cover the main concepts and principles of deep learning. It covers word vector representations, window-based neural networks, recurrent neural networks, short-term memory models, recursive neural networks, convolutional neural networks, and some recent models involving a memory component. The course thoroughly introduces cutting-edge research in deep learning applied to pattern recognition, speech recognition, and natural language processing and understanding. This course offers project-based learning designed to enhance students' practical skills in Deep Learning, providing hands-on experience and real-world applications in cybersecurity.