Module 1: Introduction to Generative AI

• Overview and applications

• Differences from traditional AI

Module 2: Generative Models

• GANs (Generative Adversarial Networks)

• VAEs (Variational Autoencoders)

Module 3: Text & Image Generation

• Text generation using LLMs

• Image synthesis with GANs

Module 4: Hands-on Projects

• AI content creation

• AI art generation, chatbots

Module 5: Deployment & Ethics

• Model deployment strategies

• Ethical considerations & AI bias