- What is Generative AI?
- Applications of Generative AI
- Types of Generative AI models
- Hands-on: Setting up environment
- Overview of GANs
- Architecture of GANs
- Training GANs
- GANs in image generation
- Hands-on: Implementing GANs
- Introduction to VAEs
- Encoder and Decoder in VAEs
- Objective function of VAEs
- Applications of VAEs
- Hands-on: Building VAE models
- Basics of RNNs
- Sequence generation using RNNs
- Long Short-Term Memory (LSTM) networks
- Training RNNs for sequence generation
- Hands-on: Text generation with RNNs
- Transfer learning basics
- Fine-tuning pre-trained models for generative tasks
- Transfer learning in image generation
- Transfer learning in text generation
- Hands-on: Transfer learning for Generative AI