This course covers the essentials of AI and deep learning. It starts with an introduction to deep learning concepts and the mathematical foundations behind them. Students learn about neural networks, including CNNs and RNNs, as well as advanced models like deep reinforcement learning. The course also covers natural language processing (NLP), model training, and evaluation techniques. Finally, it introduces deep learning frameworks and tools to implement and experiment with these technologies effectively.