Generative Artificial Intelligence

By the end of the course, students will be able to:

• Understand the principles and concepts behind generative AI models, including GANs, VAEs and Transformer-based architectures like GPT
• Apply the knowledge gained to implement generative models using popular frameworks.

What You'll Learn

This course will provide students with a basic understanding of generative Artificial Intelligence (AI) models, their applications, and the underlying techniques used to create them. Students will learn about various generative models, such as Generative adversarial networks (GANs), Variational autoencoders (VAEs), and Transformer-based architectures like Generative Pre-trained Transformer (GPT). They will gain hands-on experience in implementing these models using popular frameworks, and apply them to a variety of tasks, including image synthesis, text generation, and creative AI applications.

Minimum Entry Requirement

Basic programming skills