Generative and Self-Supervised ML

Generative and Self-Supervised ML

This course will be an introduction to unsupervised deep learning, covering self supervised machine learning methods and the different paradigms of generative deep learning including autoregressive models, flows, latent variable models, implicit models and denoise...
Generative and Self-Supervised ML

Introduction of AI for researchers (IAI4R) Part II

Gain a solid foundation in artificial intelligence by exploring its core principles, historical evolution, and major subfields, including knowledge representation, machine learning, NLP, and computer vision. The course also equips researchers to critically examine the...
Introduction to Artificial Intelligence

AI Content Creation Essentials

Participants will learn about key AI algorithms and techniques, as well as their practical applications. This course is ideal for those looking to understand the fundamental principles of AI