Introduction to Deep Generative AI (DIGITWIN4CIUE)

Introduction to Deep Generative AI is a massive open online course (MOOC) developed by EUCEDIC, the European Center Of Excellence in Digitalization of Infrastructures and Cities in the context of the Digital Twins for Complex Infrastructures and Urban Ecosystems (DIGITWIN4CIUE) project. 

About this course 

This MOOC introduces the fundamental concepts of generative modelling within machine learning. It covers neural network foundations, autoencoders, and generative adversarial networks (GANs), with a focus on understanding latent space representations and training challenges. The course is designed for engineers and technical professionals seeking foundational literacy in AI-driven generation techniques applicable to Digital Twin environments. 

Course modules 

The MOOC is split across 5 modules: 

1. Introduction
2. ML Basics
3. Neural networks
4. Autoencoders
5. GANs

Key topics and themes include machine learning, autoencoders, GANs, and latent space. 

Learning outcomes

By the end of this course, you will be able to: 

• Understand generative models
• Analyzing neural networks
• Apply basic techniques

Further details

Find further details on the DIGITWIN4CIUE project page and more information on the MOOC here. Please note that you need to create an account and register to take the course and view its contents. 

The DIGITWIN4CIUE project is funded under the Digital Europe Programme of the European Union and brings together several universities four leading European universities in the fields of Civil Engineering, Architecture and Computer Sciences: Universidad Politécnica de Madrid (Escuela de Caminos), École nationale des ponts et chaussées, Budapest University of Technology and Economics and the National University of Science and Technology Politehnica Bucharest.