Module 1: Introduction
Module 2: Discriminative AI vs. Generative AI
Module 3: Why does Generative AI matter?
- Application Fields and Potential/ Trends
- Examples: Face Generation, Video-Transfer, Generated Art, NFTs, Crypto
Module 4: Generative AI: core algorithms and their evolution
VAEs - Variational Autoencoders
- GANs - Generative Adverserial Networks
- LLMs - Large Language Models
Module 5: The Power of GANs
- How Generative AI Models work
- Excursion on Neural Networks
- Generative AI Ideation
Module 6: Implementation of a simple GAN
Module 7: Various Application Fields
Module 8: Application Modules/ Noteworthy GAN Architectures
- Text-to-Image
- Video Generation
- Game Simulation
- Module 9: What’s next?
- Concerns and malicious applications
- How to read research paper efficiently?
- Strategy on how to develop your own application using Generative AI