Generative AI

Contents

1. Introduction to Generative AI
2. Fundamentals of Generative Models
3. Generative Adversarial Networks (GANs)
4. Variational Autoencoders (VAEs)
5. Normalizing Flow Models
6. Deep Generative Models
7. Image Generation with Generative Models
8. Text Generation with Generative Models
9. Audio Generation with Generative Models
10. Video Generation with Generative Models
11. Applications of Generative AI in Industry
12. Ethics and Implications of Generative AI
13. Future of Generative AI
14. Conclusion and Next Steps.