Deep Learning in AI - Course Outline

Detailed Course Outline for Deep Learning in AI course. The course spans 16 weeks and covers a wide range of topics, including neural network optimization, convolutional neural networks (CNNs), sequence modeling with recurrent neural networks (RNNs), transformers and attention mechanisms, variational autoencoders (VAEs), generative adversarial networks (GANs), diffusion models, deep reinforcement learning, and advanced agent systems. Each module includes both theoretical concepts and practical lab sessions to reinforce learning. The course aims to equip students with the knowledge and skills needed to apply deep learning techniques in various domains.

‍