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Generative AI

GANs, VAEs, diffusion models, and generative techniques.

Course Duration: 10 hours​

What You'll Learn​

  • Generative Adversarial Networks
  • Variational Autoencoders
  • Diffusion models
  • Image generation
  • Text-to-image models
  • Creative AI applications

Prerequisites​

  • Deep Learning Fundamentals
  • CNN knowledge

Course Modules​

  1. Introduction to Generative AI
  2. Autoencoders
  3. Variational Autoencoders (VAEs)
  4. GAN Fundamentals
  5. GAN Architectures (DCGAN, StyleGAN)
  6. Conditional GANs
  7. Diffusion Models
  8. Stable Diffusion
  9. DALL-E Concepts
  10. Text-to-Image Generation
  11. Image-to-Image Translation
  12. Project: Image Generation

Models Covered​

  • VAE
  • GAN / DCGAN
  • StyleGAN
  • Stable Diffusion
  • ControlNet