10 modules(s) & 18 lesson(s)

• Module 1 - Introduction to Generative AI

  • 1 - Introduction to Generative AI - Overview
  • 2 - Generative vs. Discriminative Models
• Module 2 - Fundamentals of Neural Networks

  • 1 - Neural Networks Fundamentals
  • 2 - Neural Network Architectures
• Module 3 - Advanced Neural Network Architectures

  • 1 - Convolutional Neural Networks (CNNs)
  • 2 - Recurrent Neural Networks (RNNs)
• Module 4 - Introduction to GANs (Generative Adversarial Networks)

  • 1 - Introduction to GANs
  • 2 - Implementing a Basic GAN Model
• Module 5 - Advanced GAN Architectures

  • 1 - DCGANs (Deep Convolutional GANs)
  • 2 - WGANs (Wasserstein GANs)
• Module 6 - Introduction to VAEs (Variational Autoencoders)

  • 1 - Variational Autoencoders (VAEs) Overview
  • 2 - Implementing a Basic VAE Model
• Module 7 - Advanced VAE Architectures

  • 1 - Conditional VAEs
  • 2 - VAE-GAN Hybrids
• Module 8 - Building Complex Generative Models

  • 1 - Combining GANs and VAEs
  • 2 - Challenges in Training Generative Models
• Module 9 - Practical Applications of Generative AI

  • 1 - Image Generation Projects
  • 2 - Text Generation Projects
• Module 10 - Completion