3. What topics and skills will I learn?

  • Course 1: Build basic GANs using PyTorch, including convolutional DCGANs and conditional GANs. Evaluate using FID; control bias; explore StyleGAN.
  • Course 2: Deepen understanding with advanced GAN architectures; enhance performance and ethical considerations.
  • Course 3: Apply GANs for data augmentation, privacy preservation, and image-to-image translation (Pix2Pix, CycleGAN).
  • Additional core skills: GAN components, ethics, generative AI, computer vision, privacy, and proficiency with PyTorch.

Course | Career Focused Learning Platform
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