Generative AI: Foundations and Concepts

Instructor: Ramin Mohammadi

Skills you'll gain

  •   Applied Mathematics
  •   Machine Learning
  •   Artificial Intelligence and Machine Learning (AI/ML)
  •   Probability & Statistics
  •   Machine Learning Methods
  •   Generative AI
  •   Network Architecture
  •   Artificial Neural Networks
  •   Bayesian Network
  •   Computer Vision
  •   Deep Learning
  •   Mathematical Modeling
  • There are 4 modules in this course

    This course provides an overview of some different concepts underpinning Generative AI, their mathematical principles, and their applications in engineering. The focus will be on the practical implementation of generative AI including, neural networks, attention mechanism, and advanced deep learning models.

    Regularization and Advanced Techniques

    Convolutional Neural Networks (CNNs)

    Generative Models and Maximum Likelihood Learning

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