Generative AI is an emerging field in Artificial Intelligence with incredible potential. Its ability to generate synthetic data and support human creativity has made it increasingly popular in diverse fields such as multimedia, art, design, and product development.

According to Gartner, which ranks it in the Top Strategic Technology Trends, Generative AI, or Generative Artificial Intelligence, is a «disruptive technology capable of generating artifacts that were based on human creativity, guaranteeing innovative results free from those prejudices typical of human experience and its thought processes».

With this course, you can dive into the theory and practice of generative AI. You'll explore the different types of models currently used in generative AI, master them, and write your own code to generate unique images.

Each section of the course starts with an intuitive explanation of how the model works before diving into the specifics of implementation. We use Python and Pytorch in a Colab notebook to walk you through every line of code, ensuring you have a complete understanding of the implementation.

By the end of the course, you'll have a clear understanding of both the main concepts and the details of the coding process. We focus on valuable and essential topics to provide 100% useful information without any unnecessary chatter.

Join us to unlock the potential of Generative AI and prepare for a future of innovation and creativity!