This course is intended for graduate students, advanced undergraduates, and industry practitioners who want a practical, implementation-focused introduction to modern deep learning. It is especially well suited for learners who already understand basic machine learning concepts and now want to build, train, and evaluate real deep learning models for unstructured data such as images, text, and video. Professionals in data science, machine learning engineering, software engineering, product development, and applied AI roles will benefit from the course’s hands-on, fast-paced approach and its coverage of contemporary architectures including convolutional networks, transformers, and large language models.