1. A general introduction to Generative Modelling
2. A walkthrough of one of the most utilised generative deep learning models – the Variational Autoencoder (VAE) 3. Examples of state-of-the-art output from Generative Adversarial Networks (GANs) and Transformer based architectures. 4. How generative models can be used in a reinforcement learning setting (World Models paper) 5. Why I believe generative models will play a crucial part in the quest to build Artificial General Intelligence (AGI)