Generative Modeling with GAN and VAE | WSQ Courses

Originally published at: Generative Modeling with GAN and VAE | WSQ Courses – WSQ courses | SkillsFuture Courses

Generative models are gaining a lot of popularity recently among data scientists, mainly because they facilitate the building of AI systems that consume raw data from a source and automatically builds an understanding of it. Unlike supervised learning methods, generative models do not require labelled data.

Generative adversarial networks (GANs) and Variational Autoencoders (VAE) are generative models that can generate photo realistics images. This two days course on GAN and VAE will teach you the fundamental of GAN and VAE algorithms.

Course Highlights

  • Basic GAN framework and theory
  • DCGAN, WGAN, Conditional GAN
  • Pic2Pic, SRGAN and StyleGAN
  • Image Generation with Variational Autoencoder


All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant Applications

No funding is available for this course

For WSQ funding, please checkout the details at NICF – Computational Modeling with Generative Adversarial Network (GAN)


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